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EN
Respiratory rate measurement is important under different types of health issues. The need for technological developments for measuring respiratory rate has become imperative for healthcare professionals. The paper presents an approach to respiratory monitoring, with the aim to improve the accuracy and efficacy of the data monitored. We use multiple types of sensors on various locations on the body to continuously transmit real-time data, which is processed to calculate the respiration rate. Variations in the respiration rate will help us identify the current health condition of the patient also for diagnosis and further medical treatment. The software tools such as Keil μVision IDE, Mbed Studio IDE, Energia IDE are used to compile and build the system architecture and display information. EasyEDA is used to provide pin map details and complete architecture information.
PL
W pracy przedstawiono kilka przypadków wykorzystujących format wymiany danych bazujących na JSON (JavaScript Object Notation), odnosząc je do formatu wymiany danych MODBUS przy opracowywaniu oprogramowania zarządzającego i sterującego pracą akceleratora elektronów. Akceleratory elektronów produkowane przez Zakład Aparatury Jądrowej Narodowego Centrum Badań Jądrowych wymagają wymiany danych pomiędzy poszczególnymi podzespołami wykorzystującymi 8 bitowe mikroprocesory, procesory ARM oraz PC. Przyjęcie korzystnego formatu wymiany danych jest krytyczne dla tworzenia oprogramowania i zarządzania pracą zespołu programistów.
EN
The paper presents several cases using the JSON (JavaScript Object Notation) data exchange format, relating them to the MODBUS data exchange format in the development of software for managing and controlling the operation of the electron accelerator. Electron accelerators made in ZdAJ require data exchange between different modules based on 8bit microprocessors, ARM processors and PC. Using proper data format is critical to software development and the management of the development team.
EN
In the process of industrial automatization, collaborative robots are becoming an increasingly important tool in a wide range of industries. The robot assists humans in strenuous and repetitive tasks, in order to increase the productivity and well-being of the worker. The concept presented in this paper focuses on a flexible assistance function of a robot for multiple workstations simultaneously and incorporates different human-machine-interaction approaches. Therefore, an assembly table (Figure 2) with the possibility to study different concepts for one robot at the same time is designed and constructed. Aspects like ergonomics and safety are considered in the design. Additionally, a standardized data format that enables users and developers to control the robot through peripheral devices is created. As an example, gesture and voice control are discussed and evaluated.
4
Content available remote Intermediate Results Materialization Selection and Format for Data-Intensive Flows
EN
Data-intensive flows deploy a variety of complex data transformations to build information pipelines from data sources to different end users. As data are processed, these workflows generate large intermediate results, typically pipelined from one operator to the following ones. Materializing intermediate results, shared among multiple flows, brings benefits not only in terms of performance but also in resource usage and consistency. Similar ideas have been proposed in the context of data warehouses, which are studied under the materialized view selection problem. With the rise of Big Data systems, new challenges emerge due to new quality metrics captured by service level agreements which must be taken into account. Moreover, the way such results are stored must be reconsidered, as different data layouts can be used to reduce the I/O cost. In this paper, we propose a novel approach for automatic selection of multi-objective materialization of intermediate results in data-intensive flows, which can tackle multiple and conflicting quality objectives. In addition, our approach chooses the optimal storage data format for selected materialized intermediate results based on subsequent access patterns. The experimental results show that our approach provides 40% better average speedup with respect to the current state-of-the-art, as well as an improvement on disk access time of 18% as compared to fixed format solutions.
5
Content available remote Visualization of Results Received with the Discrete Element Method
EN
The output of discrete element simulations includes thousands of time-frames and millions of interacting particles (bodies) in each frame. A single simulation can include terabytes of results, which may lead to very large, very complex data sets. Visualizing them is coupled with difficulties caused by either the number of particles, the number of time-frames or complexities of “system variables”. In this work, an attempt has been made to present a data format and graphical template dedicated to discrete element visualization. The article presents a practical approach to the issues, that is the result of programming an open source 3D visualizer, called DEV_KM.
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