Qualitative Description of Electrophysiologic Measurements: towards automatic data interpretation

1987 ◽  
pp. 81-87 ◽  
Author(s):  
W. J. Irler ◽  
R. Antolini ◽  
M. Kirchner ◽  
L. Stringa
Keyword(s):  
Data Interpretation ◽  
Qualitative Description ◽  
Automatic Data

scholarly journals PERMAINAN BUNYI DALAM PENCIPTAAN HUMOR KOMIK @TAHILALATS DI INSTAGRAM

Sirok Bastra ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 1-19
Author(s):  
Habib Safillah Akbariski
Keyword(s):  
Language Game ◽  
Data Interpretation ◽  
Information Model ◽  
Sound Change ◽  
Qualitative Description ◽  
Language Games ◽  
Research Use ◽  
Nonverbal Information ◽  
Common Technique

Manusia disebut sebagai homo ludens yang artinya manusia adalah seorang pemain, termasuk memainkan bahasa secara kreatif dalam pelbagai situasi dan kondisi. Dalam hal ini, permainan bahasa yang dimaksud adalah permainan bunyi yang dimanfaatkan untuk menciptakan humor. Penelitian ini bertujuan untuk mendeskripsikan empat hal. Pertama, teknik permainan bunyi yang digunakan dalam membangun humor komik Tahilalats. Kedua, cara bunyi tersebut membangun humor dalam komik @Tahilalats. Ketiga, interpretasi penggunaan teknik permainan bunyi. Keempat, memaparkan model tuturan dalam komik @Tahilalats. Metode yang digunakan dalam penelitian ini adalah deskriptif kualitatif. Hasil penelitian ini menunjukkan bahwa dari 90 edisi komik @Tahilalats yang dianalisis terdapat 129 data permainan bunyi. Teknik permainan bunyi dalam komik @Tahilalats terdiri atas 10 jenis teknik yang apabila dipecah dapat menjadi 15 teknik. Proses bunyi dalam membangun humor bergantung pada masing-masing teknik yang diterapkan dalam komik. Interpretasi data menunjukkan bahwa teknik substitusi merupakan teknik yang paling banyak dimanfaatkan dalam komik @Tahilalats. Model tuturan dalam komik ini dirumuskan berdasarkan teori SPEAKING oleh Dell Hymes dengan memanfaatkan aspek ends, act, dan key. Komik @Tahilalats memanfaatkan aspek verbal-nonverbal dan bunyi segmental-suprasegmental dalam penciptaan humor dan tuturan.  Mankind called as homo ludens means a player who plays the game, it is included creatively playing the language in certain terms and conditions. Language game refers to the sound change for the sake of humor. This research aims to define four points. Firstly, sound change techniques build humorous materials in @Tahilalats comic. Secondly, identifying the process of the sound builds the humorous materials in @Tahilalats comic. Thirdly, interpretating the use of language games' technique. Lastly, explaining  the type of information in @Tahilalats comic. This research use qualitative description research as its method. The result shows that there are 129 sound change data from 90 editions of @Tahilalats comic.  The techniques of @Tahilalats comic consisted of 10 types which will be differed into 15 techniques. The process of humor building depends on each type of techniques which are applied in the comic. The data interpretation shows substitution technique is the most common technique used in the @Tahilalats comic. Information model in this comic is formulated into SPEAKING theory by Dell Hymes included aspects; ends; act; and key. @Tahilalats comic utilizes verbal-nonverbal information and segmental-suprasegmental sound in humor and information building.

scholarly journals Variasi Leksikal Bahasa Musi di Sungsang

2019 ◽  
Vol 5 (2) ◽  
pp. 104-113
Author(s):  
Andina Muchti ◽  
Delvi Selvia
Keyword(s):  
Data Interpretation ◽  
Qualitative Description ◽  
Community Life ◽  
Body Parts ◽  
Equipment And Supplies ◽  
Analysis Techniques ◽  
Kinship System ◽  
Basic Vocabulary ◽  
Transcription Data ◽  
Data Checking

This study aims to describe the lexical variations of the Musi language in Sungsang. This lexical variation can be demonstrated by looking for similarities and differences in Musi language variations in Sungsang. The method used is a qualitative description. Data collection techniques using observation, interviews, recording, and recording techniques. Data analysis techniques data checking with data reduction, data transcription, data classification, data interpretation, and conclusions. The results showed that: 1) Swades basic vocabulary there are 20 different words and 20 similarity words, 2) body parts there are 5 differences and 6 similarities, 3) greeting pronouns there are 4 different words and 2 similarity words 4) kinship system there are 3 words differences and 2 words of equality, 5) village and community life there are 7 words of difference and 4 words of equality, 6) house and parts there are 7 words of difference and 5 words of equality, 7) equipment and supplies there are 10 words of difference and 6 words of similarity, 8) food and drinks there are 5 words of difference and 2 words of equality, 9) seasons, natural conditions, natural objects, and directions there are 14 words of difference and 9 words of equality, 10) mannerism and adjectives there are 20 words of difference and 5 words of similarity, 11) clothing and jewelry there are 6 words of difference and 8 words of equality, 12) motion and work there are 20 words of difference and 10 words of equality, and 12) animals there are 6 words of difference and 1 similarity of language Musi, ko sakata that do not experience differences in plant, yard and tree vocabulary. Musi language variations are mostly found in Sungsang I Village with 60 vocabularies, while Musi language equation is more in Sungsang III village with 162 vocabularies.

Design and Development of Test Data Interpretation System for Space Power-Sources

2014 ◽  
Vol 926-930 ◽  
pp. 1243-1246
Author(s):  
Yi Lun Lv ◽  
Bin Feng
Keyword(s):  
Data Analysis ◽  
Test Data ◽  
Data Interpretation ◽  
Power Source ◽  
Automatic Data ◽  
Power Sources ◽  
Multidimensional Time Series ◽  
Interpretation System ◽  
Product Test ◽  
Parameter Interpretation

We designed and developed a test data interpreting system to improve the efficiency and accuracy of test data analysis of space power-source and to meet the challenge challenges of heavy productive task and mass product quality. The design took full thought of the characteristics of the aerospace product, actual test data obtained from the development, the product test goal, the composition and the basic requirements of the test data analysis. The system realized automatic data interpretation, multi-parameter interpretation, multidimensional time series interpretation and graphic curve display, demonstrating its rosy future in solving the problem of test data analysis in aerospace field.

An Automatic Data Warehouse Conceptual Design Approach

2011 ◽  
pp. 110-119 ◽  
Author(s):  
Jamel Feki
Keyword(s):  
Information Acquisition ◽  
Large Data ◽  
Data Interpretation ◽  
Heterogeneous Data ◽  
Materialized Views ◽  
Data Warehouses ◽  
Automatic Data ◽  
Schema Design ◽  
On Line ◽  
Analytical Processing

Within today’s competitive economic context, information acquisition, analysis and exploitation became strategic and unavoidable requirements for every enterprise. Moreover, in order to guarantee their persistence and growth, enterprises are forced, henceforth, to capitalize expertise in this domain. Data warehouses (DW) emerged as a potential solution answering the needs of storage and analysis of large data volumes. In fact, a DW is a database system specialized in the storage of data used for decisional ends. This type of systems was proposed to overcome the incapacities of OLTP (On-Line Transaction Processing) systems in offering analysis functionalities. It offers integrated, consolidated and temporal data to perform decisional analyses. However, the different objectives and functionalities between OLTP and DW systems created a need for a development method appropriate for DW. Indeed, data warehouses still deploy considerable efforts and interests of a large community of both software editors of decision support systems (DSS) and researchers (Kimball, 1996; Inmon, 2002). Current software tools for DW focus on meeting end-user needs. OLAP (On-Line Analytical Processing) tools are dedicated to multidimensional analyses and graphical visualization of results (e.g., Oracle Discoverer?); some products permit the description of DW and Data Mart (DM) schemes (e.g., Oracle Warehouse Builder?). One major limit of these tools is that the schemes must be built beforehand and, in most cases, manually. However, such a task can be tedious, error-prone and time-consuming, especially with heterogeneous data sources. On the other hand, the majority of research efforts focuses on particular aspects in DW development, cf., multidimensional modeling, physical design (materialized views (Moody & Kortnik, 2000), index selection (Golfarelli, Rizzi, & Saltarelli 2002), schema partitioning (Bellatreche & Boukhalfa, 2005)) and more recently applying data mining for a better data interpretation (Mikolaj, 2006; Zubcoff, Pardillo & Trujillo, 2007). While these practical issues determine the performance of a DW, other just as important, conceptual issues (e.g., requirements specification and DW schema design) still require further investigations. In fact, few propositions were put forward to assist in and/or to automate the design process of DW, cf., (Bonifati, Cattaneo, Ceri, Fuggetta & Paraboschi, 2001; Hahn, Sapia & Blaschka, 2000; Phipps & Davis 2002; Peralta, Marotta & Ruggia, 2003).

The Design of Power Supply and Distribution Real-Time Monitoring System Based on PXI Bus for Telemetering System

2012 ◽  
Vol 482-484 ◽  
pp. 1725-1728
Author(s):  
Hong Liang Wang ◽  
Hai Fei Ding ◽  
Jin Qi Wang ◽  
Pan Liu
Keyword(s):  
Real Time ◽  
Power Supply ◽  
Distribution System ◽  
High Efficiency ◽  
Data Interpretation ◽  
Signal Acquisition ◽  
Telemetry System ◽  
Real Time Monitoring ◽  
Automatic Data ◽  
Supply And Distribution

Telemetering power supply and distribution system is an important part of the telemetry system. Arming at a telemetering power supply and distribution system, this paper adopts digital multimeter and multiplex switch based on PXI bus to realize 32-channel power supply and distribution DC voltage signal acquisition, storage, real-time monitoring and analysis, and also automatic data interpretation. The system consists of PXI host, multiplex switch, digital multimeter, interface unit, a control software and so on, which has the advantages of high precision, high efficiency, easy to operate, and has been used successfully in the test of a telemetry system.

scholarly journals MTrack: Automated Detection, Tracking, and Analysis of Dynamic Microtubules

2018 ◽  
Author(s):  
Varun Kapoor ◽  
William G. Hirst ◽  
Christoph Hentschel ◽  
Stephan Preibisch ◽  
Simone Reber
Keyword(s):  
Dynamic Instability ◽  
Simulated Data ◽  
Real Data ◽  
Data Interpretation ◽  
Pixel Resolution ◽  
Automatic Data ◽  
Cellular Processes ◽  
In Vitro Reconstitution ◽  
User Friendly

AbstractMicrotubules are polar, dynamic filaments fundamental to many cellular processes. In vitro reconstitution approaches with purified tubulin are essential to elucidate different aspects of microtubule behavior. To date, deriving data from fluorescence microscopy images by manually creating and analyzing kymographs is still commonplace. Here, we present MTrack, implemented as a plug-in for the open-source platform Fiji, which automatically identifies and tracks dynamic microtubules with sub-pixel resolution using advanced objection recognition. MTrack provides automatic data interpretation yielding relevant parameters of microtubule dynamic instability together with population statistics. The application of our software produces unbiased and comparable quantitative datasets in a fully automated fashion. This helps the experimentalist to achieve higher reproducibility at higher throughput on a user-friendly platform. We use simulated data and real data to benchmark our algorithm and show that it reliably detects, tracks, and analyzes dynamic microtubules and achieves sub-pixel precision even at low signal-to-noise ratios.

High Resolution Microscopy of Multi-Layered Biological Crystals

1982 ◽  
Vol 40 ◽  
pp. 80-83
Author(s):  
H.A. Cohen ◽  
T.W. Jeng ◽  
W. Chiu
Keyword(s):  
High Resolution ◽  
Low Dose ◽  
Three Dimensional ◽  
Data Interpretation ◽  
Two Dimensional ◽  
Biological Objects ◽  
Density Maps ◽  
Density Map ◽  
Complex Crystal ◽  
High Resolution Microscopy

This tutorial will discuss the methodology of low dose electron diffraction and imaging of crystalline biological objects, the problems of data interpretation for two-dimensional projected density maps of glucose embedded protein crystals, the factors to be considered in combining tilt data from three-dimensional crystals, and finally, the prospects of achieving a high resolution three-dimensional density map of a biological crystal. This methodology will be illustrated using two proteins under investigation in our laboratory, the T4 DNA helix destabilizing protein gp32*I and the crotoxin complex crystal.

Instrumentation For Quantitative Microscopy

1977 ◽  
Vol 35 ◽  
pp. 206-209
Author(s):  
B. Ralph ◽  
A.R. Jones
Keyword(s):  
Volume Fraction ◽  
Three Dimensional ◽  
Two Dimensional ◽  
Automatic Data ◽  
Phase Volume Fraction ◽  
Statistical Confidence ◽  
Resultant Data ◽  
Automatic Data Collection ◽  
Third Dimension ◽  
Evolution Of Microstructure

In all fields of microscopy there is an increasing interest in the quantification of microstructure. This interest may stem from a desire to establish quality control parameters or may have a more fundamental requirement involving the derivation of parameters which partially or completely define the three dimensional nature of the microstructure. This latter categorey of study may arise from an interest in the evolution of microstructure or from a desire to generate detailed property/microstructure relationships. In the more fundamental studies some convolution of two-dimensional data into the third dimension (stereological analysis) will be necessary.In some cases the two-dimensional data may be acquired relatively easily without recourse to automatic data collection and further, it may prove possible to perform the data reduction and analysis relatively easily. In such cases the only recourse to machines may well be in establishing the statistical confidence of the resultant data. Such relatively straightforward studies tend to result from acquiring data on the whole assemblage of features making up the microstructure. In this field data mode, when parameters such as phase volume fraction, mean size etc. are sought, the main case for resorting to automation is in order to perform repetitive analyses since each analysis is relatively easily performed.

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