Interactive Data Processing Research Articles

ANALYSIS OF FM BROADCAST RADIO SIGNAL RECEPTION IN BORDER AREAS USING SEVERAL ANTENNA MODELS

Information is now a basic need for every people, including the people in border areas. Therefore, it is an obligation for the government to provide information media that can be reached by all levels of society, one of which is FM radio broadcast media. This research aims to identify and assess the quality of FM radio broadcasts in the border area of Sambas Regency using several antenna models which in the area is a vulnerable area of signal leakage by neighbouring countries and far from Indonesian broadcast transmitters. The assessment of FM radio broadcast quality is carried out with the determination of SINPO (Signal, Interference, Noise, Propagation, Overall) values and field strength meter measurements. The data obtained were analysed using the Miles and Hubberman interactive data processing technique. From the research conducted, it was found that 10 Malaysian FM radio broadcast channels and 2 broadcast channels from Indonesia where the dominant broadcast was received better by the yagi antenna. There were also broadcasts whose frequencies fell out of compliance with the regulations.

Pembelajaran Pengolahan Data dengan Metode Permainan Pos Berantai pada Siswa Kelas 4 Sekolah Dasar

Data processing is an important aspect of learning mathematics at the elementary school level. Next will understand mathematics in data processing. Data processing is the process of collecting, compiling, analyzing, and presenting data in graphical or tabular form so that it is easy to understand. There are two types of data that are often used in data processing, namely qualitative data and quantitative data. Qualitative data are those that are measured based on research as they are and cannot be measured by numbers, such as color, smell, and taste. Meanwhile, quantitative data is data that can be measured based on numbers, such as numbers or sizes. There is a method that can be used to better understand interactive data processing, namely the serial post game method. With this method in order to be able to explore the use of the postal game method in teaching data processing to grade 4 students in elementary schools so that it is more fun and does not make students easily bored. There is also the purpose of this study is to know how to improve learning outcomes in mathematics lessons regarding data processing using the serial post method for class IV Elementary School and to find out the responses to mathematics lessons on data processing materials that link students' activeness.

An Interactive System Based on the IASP91 Earth Model for Earthquake Data Processing

System software for interactive human–computer data processing based on the IASP91 Earth model was designed. An interactive data processing system for visualizing earthquake data was designed and implemented via the Intel Fortran platform. The system reads and processes broadband seismic data acquired by field stations, mainly including the reading and import of raw data, pre-processing, identification of seismic phases and inter-correlation traveltimes picking. In the data processing step, shortcomings have been improved and functions have been gradually refined and enhanced, making it easier and faster to process data. It has already processed more than 1000 large seismic events received by the station from 2013 to 2018. The practical application shows that the human–computer interaction system is easy to operate, accurate, fast and flexible, and is an effective tool for processing seismic data.

Intelligent Interactive English Teaching System for Engineering Education

In order to improve the effect of English teaching, this paper combines with the intelligent algorithm to construct an intelligent interactive English teaching system for engineering education. In the process of interactive data processing, this paper specifies the time that a single pulse needs to be maintained and controls a counter to maintain a certain number of FPGA clocks. Moreover, data processing is completed in the digital domain, the modulation method is digital quadrature amplitude modulation, data transmission is generally in the form of a real signal, and the modulated IQ signal is converted back to a real signal. After constructing an intelligent interactive English teaching system for engineering education, this paper verifies that the intelligent interactive English teaching system for engineering education has certain effects through simulation teaching combined with the expert evaluation method.

Addressing the need for interactive, efficient, and reproducible data processing in ecology with the datacleanr R package.

Ecological research, just as all Earth System Sciences, is becoming increasingly data-rich. Tools for processing of "big data" are continuously developed to meet corresponding technical and logistical challenges. However, even at smaller scales, data sets may be challenging when best practices in data exploration, quality control and reproducibility are to be met. This can occur when conventional methods, such as generating and assessing diagnostic visualizations or tables, become unfeasible due to time and practicality constraints. Interactive processing can alleviate this issue, and is increasingly utilized to ensure that large data sets are diligently handled. However, recent interactive tools rarely enable data manipulation, may not generate reproducible outputs, or are typically data/domain-specific. We developed datacleanr, an interactive tool that facilitates best practices in data exploration, quality control (e.g., outlier assessment) and flexible processing for multiple tabular data types, including time series and georeferenced data. The package is open-source, and based on the R programming language. A key functionality of datacleanr is the "reproducible recipe"-a translation of all interactive actions into R code, which can be integrated into existing analyses pipelines. This enables researchers experienced with script-based workflows to utilize the strengths of interactive processing without sacrificing their usual work style or functionalities from other (R) packages. We demonstrate the package's utility by addressing two common issues during data analyses, namely 1) identifying problematic structures and artefacts in hierarchically nested data, and 2) preventing excessive loss of data from 'coarse,' code-based filtering of time series. Ultimately, with datacleanr we aim to improve researchers' workflows and increase confidence in and reproducibility of their results.

K-means quantization for a web-based open-source flow cytometry analysis platform

Flow cytometry (FCM) is an analytic technique that is capable of detecting and recording the emission of fluorescence and light scattering of cells or particles (that are collectively called “events”) in a population1. A typical FCM experiment can produce a large array of data making the analysis computationally intensive2. Current FCM data analysis platforms (FlowJo3, etc.), while very useful, do not allow interactive data processing online due to the data size limitations. Here we report a more effective way to analyze FCM data on the web. Freecyto is a free and intuitive Python-flask-based web application that uses a weighted k-means clustering algorithm to facilitate the interactive analysis of flow cytometry data. A key limitation of web browsers is their inability to interactively display large amounts of data. Freecyto addresses this bottleneck through the use of the k-means algorithm to quantize the data, allowing the user to access a representative set of data points for interactive visualization of complex datasets. Moreover, Freecyto enables the interactive analyses of large complex datasets while preserving the standard FCM visualization features, such as the generation of scatterplots (dotplots), histograms, heatmaps, boxplots, as well as a SQL-based sub-population gating feature2. We also show that Freecyto can be applied to the analysis of various experimental setups that frequently require the use of FCM. Finally, we demonstrate that the data accuracy is preserved when Freecyto is compared to conventional FCM software.

An interactive Python-based data processing platform for single particle and single cell ICP-MS

A data processing platform was developed for the analysis of single particle and single cell ICP-MS data sets. All functions are embedded in a GUI and enable signal recognition, accumulation and calibration via dedicated pathways and filters.

BigDebug: Debugging Primitives for Interactive Big Data Processing in Spark.

Developers use cloud computing platforms to process a large quantity of data in parallel when developing big data analytics. Debugging the massive parallel computations that run in today's data-centers is time consuming and error-prone. To address this challenge, we design a set of interactive, real-time debugging primitives for big data processing in Apache Spark, the next generation data-intensive scalable cloud computing platform. This requires re-thinking the notion of step-through debugging in a traditional debugger such as gdb, because pausing the entire computation across distributed worker nodes causes significant delay and naively inspecting millions of records using a watchpoint is too time consuming for an end user. First, BIGDEBUG's simulated breakpoints and on-demand watchpoints allow users to selectively examine distributed, intermediate data on the cloud with little overhead. Second, a user can also pinpoint a crash-inducing record and selectively resume relevant sub-computations after a quick fix. Third, a user can determine the root causes of errors (or delays) at the level of individual records through a fine-grained data provenance capability. Our evaluation shows that BIGDEBUG scales to terabytes and its record-level tracing incurs less than 25% overhead on average. It determines crash culprits orders of magnitude more accurately and provides up to 100% time saving compared to the baseline replay debugger. The results show that BIGDEBUG supports debugging at interactive speeds with minimal performance impact.

New methods of probabilistic and possibilistic interactive data processing

This paper presents the methods of processing interactive data describing different forms of uncertainty. Data can be expressed in the form of interactive possibility distribution or the part of data can be expressed in the form of interactive possibility distribution and the part in the form of pr obability distribution. The procedure of processing combines stochastic simulation with nonlinear programming or simulation of fuzzy systems. The interaction between data are modeled by the correlation matrices and the interval regression. Presented practical example indicates that an interaction between data have a significant impact on results of calculations. Data processing without consideration of these interrelations would bear a considerable, systematic error.

Применение современных информационных технологий в индустрии детского отдыха в России

The study is based on the latest achievements in the field of information technology and is devoted to their large-scale implementation in the economy, namely, in service industry and tourism in the future. The paper covers the history of creation and the availability of interactive data processing methods as basic information, an example of mapping the territory of Russia Subsurface. Subject of this study — children’s leisure industry. The author suggested using information technologies and the latest interactive techniques to create a registry of children’s health camps in the future and to develop visual interactive maps based on this database. The paper reflects the role and importance of these techniques.
 The research paper shows the role and importance of information technologies in tourism of Russia. By the example of children’s leisure, as one of the most popular trends of internal tourism in Russia, it describes a mechanism for improving the registry of Russian children’s health camps. It is planned to provide information from the registry of children’s recreation camps in the form of an interactive map. The mechanism of drafting the functioning and further development of an interactive map is also represented in the research work. The researcher specified the basic criteria by which the map shall be created.

Study on FBG Wavelength Demodulation System with the Continuous Dynamic Scanning of Tunable DFB Laser

A FBG wavelength demodulation system based on the continuous dynamic scanning of tunable distributed feedback (DFB) laser is put forward and implemented. First, this paper introduces the basic principle of FBG wavelength demodulation system; second, the demodulation algorithm as the key of whole system is realized and compiled into DLL files by using the C programming language, then the Labview program calls for DLL files through a dynamic link library to establish a data processing program, including a interactive data processing interface. Not only it improves the accuracy of FBG wavelength demodulation system, also it helps the subsequent development on the system even though the hardware equipments keep invariant. The results show that the demodulation system has a fine resolution and stability, which can meet the practical requirements and be suited to produce in business and put into use in the engineering.

Virtual reality for architectural acoustics

Over the last decades, powerful prediction models have been developed in architectural acoustics, which are used for the calculation of sound propagation in indoor and/or outdoor scenarios. Sound insulation is predicted rather precisely by using direct and flanking transmission models of sound and vibration propagation. These prediction tools are already in use in architectural design and consulting. For the extension towards virtual reality (VR) systems, it is required to accelerate the prediction and simulation tools significantly and to allow an adaptive and interactive data processing during the simulation and 3D audio stimulus presentation. This article gives an overview on the current state-of-the-art of acoustic VR and discusses all relevant components in terms of accuracy, implementation and computational effort. With the progress in processing power, it is already possible to apply such VR concepts for architectural acoustics and to start perceptual studies in integrated architectural design processes.

A geophysical approach to the igneous rocks in the Biga Peninsula (NW Turkey) based on airborne magnetic anomalies: geological implications

The Biga Peninsula, the complex geological structure of which has attracted intense attention so far, is located in the north-western part of Anatolia, Turkey. The Peninsula is tectonically very important region where different tectonic zones meet and comprises various kinds of sedimentary, metamorphic and igneous rocks. Among these rocks, igneous rocks occupy a considerably amount of areas in the Biga Peninsula and they are mostly associated with geothermal systems and mineral deposits, and therefore they play an important role in the geology of the Peninsula. In this paper, derived results concerning the geological features and subsurface structures of the igneous rocks in the Peninsula are presented based on analyzing the airborne magnetic anomalies. To this end, a MATLAB-based toolkit named as Gravity and Magnetic Interpretation (GMINTERP) that is composed of a set of linked functions in conjunction with a graphical user interface was developed and used for the interpretation of the airborne magnetic anomalies. Some linear transformations and derivative-based techniques were performed to process the potential field data-set and also to help build a general understanding of the geological details. The close agreement between the derived geophysical anomaly maps and the well-known surface geology map of the Biga Peninsula helped us discuss the geological implications of the geophysical traces. This study also indicated that the developed interactive data processing toolkit may assist geological interpretation even in the areas whose subsurface structure is poorly known.

PyMS: a Python toolkit for processing of gas chromatography-mass spectrometry (GC-MS) data. Application and comparative study of selected tools

BackgroundGas chromatography–mass spectrometry (GC-MS) is a technique frequently used in targeted and non-targeted measurements of metabolites. Most existing software tools for processing of raw instrument GC-MS data tightly integrate data processing methods with graphical user interface facilitating interactive data processing. While interactive processing remains critically important in GC-MS applications, high-throughput studies increasingly dictate the need for command line tools, suitable for scripting of high-throughput, customized processing pipelines.ResultsPyMS comprises a library of functions for processing of instrument GC-MS data developed in Python. PyMS currently provides a complete set of GC-MS processing functions, including reading of standard data formats (ANDI- MS/NetCDF and JCAMP-DX), noise smoothing, baseline correction, peak detection, peak deconvolution, peak integration, and peak alignment by dynamic programming. A novel common ion single quantitation algorithm allows automated, accurate quantitation of GC-MS electron impact (EI) fragmentation spectra when a large number of experiments are being analyzed. PyMS implements parallel processing for by-row and by-column data processing tasks based on Message Passing Interface (MPI), allowing processing to scale on multiple CPUs in distributed computing environments. A set of specifically designed experiments was performed in-house and used to comparatively evaluate the performance of PyMS and three widely used software packages for GC-MS data processing (AMDIS, AnalyzerPro, and XCMS).ConclusionsPyMS is a novel software package for the processing of raw GC-MS data, particularly suitable for scripting of customized processing pipelines and for data processing in batch mode. PyMS provides limited graphical capabilities and can be used both for routine data processing and interactive/exploratory data analysis. In real-life GC-MS data processing scenarios PyMS performs as well or better than leading software packages. We demonstrate data processing scenarios simple to implement in PyMS, yet difficult to achieve with many conventional GC-MS data processing software. Automated sample processing and quantitation with PyMS can provide substantial time savings compared to more traditional interactive software systems that tightly integrate data processing with the graphical user interface.

Mineral and trace element composition of the Lokpanta oil shales in the Lower Benue Trough, Nigeria

The concentrations of minerals and trace elements in the Lokpanta oil shale from the Lower Benue Trough, Nigeria have been determined by X-ray diffraction (XRD) and laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS), respectively. X-ray diffraction data were evaluated using the SIROQUANT™ interactive data processing system based on Rietveld interpretation methods. A new method of trace element determination in oil shale, involving LA-ICP-MS analysis of glass beads prepared by fusing oil shale ash on an iridium strip heater was used, and the accuracy of the method was assessed by including a standard shale reference material (SGR-1b) in the analysis program.The minerals in the raw oil shales are mainly quartz, calcite and clay minerals, with the latter being represented by kaolinite and interstratified illite/smectite. Ashes of the oil shale samples prepared at 815°C have quartz and (in some cases) illite as the dominant mineral phases, along with a significant proportion of amorphous materials. The Lokpanta oil shales are highly enriched in some potentially hazardous trace elements, including V, Cr and Ni, when compared with oil shales from other deposits around the world. The results obtained for the trace elements in the reference material show that the LA-ICP-MS method described in this study is very accurate and precise for the determination of a wide range of trace elements in oil shales.

WebGIS GMO Monitoring

The surveillance of genetically modified organisms (GMO) dispersal is a new challenging task in environmental monitoring. Web-based geoinformation systems (WebGIS) are tools for the harmonisation of monitoring methods, network design and data handling in the framework of GMO-monitoring data. Furthermore, WebGIS can be used for serving report duties, for planning GMO-monitoring or as data base for statistical analyses and dispersal models. We developed a WebGIS GMO Monitoring and integrated site-specific data from appropriate environmental monitoring networks and surface maps allowing for the description of the environment of the monitoring sites in terms of, e.g., land use and climate or altitude above sea level. We used platform independent Open Source-software. The WebGIS considers standards released by the Open Geospatial Consortium (OGC) and the International Organisation for Standardisation (ISO) to ensure interoperability between web mapping services (WMS) located all over the world. Projects like INSPIRE (Infrastructure for Spatial Information in Europe) or PortalU use these standards as well. The WebGIS GMO Monitoring offers tools for visualisation, spatial and logical queries as well as interactive data processing tools.

Interactive processing and visualization of image data for biomedical and life science applications

BackgroundApplications in biomedical science and life science produce large data sets using increasingly powerful imaging devices and computer simulations. It is becoming increasingly difficult for scientists to explore and analyze these data using traditional tools. Interactive data processing and visualization tools can support scientists to overcome these limitations.ResultsWe show that new data processing tools and visualization systems can be used successfully in biomedical and life science applications. We present an adaptive high-resolution display system suitable for biomedical image data, algorithms for analyzing and visualization protein surfaces and retinal optical coherence tomography data, and visualization tools for 3D gene expression data.ConclusionWe demonstrated that interactive processing and visualization methods and systems can support scientists in a variety of biomedical and life science application areas concerned with massive data analysis.

Comparison of fly ash properties from Afsin–Elbistan coal basin, Turkey

Afsin–Elbistan (AE) coal fly ashes obtained by burning coal samples from top, middle and bottom sections of the AE coal seam were characterized and their properties were compared. Chemical analysis of the AE coal fly ashes showed that they are mainly composed of CaO, SiO 2, Fe 2O 3 and Al 2O 3. Quantitative X-ray diffraction (XRD) analyses were carried out using an interactive data processing system (SIROQUANT™) based on Rietveld interpretation methods. Lime is found in all the samples, ranging from around 7% to just over 38%. Amorphous contents of fly ashes are ranged between 19% and 25%. Different types of AE fly ashes revealed that bottom section coal fly ash is very similar to Class F, while medium and top section coal fly ashes are close to Class C and they might be used as mineral admixture in concrete. But also they do not comply with any of the standard. The results presented here show new possibilities for AE coal fly ashes in a wide range of fields, resulting in great advantages in waste minimization, as well as, resources conservation.

Studies of the relationship between mineral matter and grinding properties for low-rank coals

Investigations into the effects of mineral matter content on Hardgrove Grindability Index (HGI) were carried out on some low-rank Turkish coals. Quantitative X-ray diffraction (XRD) analyses were carried out using an interactive data processing system (SIROQUANT™) based on Rietveld interpretation methods. Selective leaching processes were used to determine the water and acid-soluble contents of coal samples. Among the coal seams tested, the HGI values of Elbistan coal samples presented a large range from 39 to 83, whereas Tufanbeyli coal samples ranged from 48 to 69. Treatment of the coal with water, ammonium acetate, and hydrochloric acid showed that a considerable part of the ash-forming inorganic matter occurs in water-soluble, acid-soluble, or ion-exchangeable form. Grindability tests on samples of varied water and acid-soluble content showed a significant effect of water and acid-soluble contents on HGI.

Geotechnical characterization of lignite-bearing horizons in the Afsin–Elbistan lignite basin, SE Turkey

The Afsin–Elbistan lignite deposit, with its 3.4 billion metric tons of reserves, is the biggest lignite basin and one of the most important resources for electrical energy production in Turkey. Kislakoy mining field was selected as the first opencast mine to feed four power station blocks of 300 MW each. Slope instability has been a continuing problem in the Kislakoy opencast mine. Particularly complex failures along a noncircular failure surface appearing at the final slope stage and covering large areas in the mine increase the importance of slope stability. This study outlines the geotechnical characteristics of the lignite-bearing horizons and describes the causes and mechanisms of slope instabilities, which threaten the safety of the mine. Quantitative X-ray diffraction (XRD) analyses were carried out using an interactive data processing system (SIROQUANT™) based on Rietveld interpretation methods. Parametric slope stability analysis and backanalysis were carried out for the failure that occurred at the northwestern final slope stage of the mine. The Spencer–Wright limiting state equilibrium method was used in order to determine with confidence the most representative values of regional shear strength parameters, to explain the failure mechanism, and to assess the conditions at the time of failure. In the analysis, phreatic and piezometric surfaces were considered. Site observations and numerous backanalyses of the slope failure reveal that a compound slide occurred where gyttja (contact zone) layers rest directly on the lignite. Gyttja (contact zone) contains the weakest material within the system. The analysis showed that the main cause of the northwestern slope instability was the presence of the groundwater flow within a Quaternary aquifer (through buried valleys), reducing the effective shear strength of the slope materials. It is also noted from backanalysis that the gyttja (contact zone) layer presents a shear strength at, or approaching, the residual value at the time of failure.