Ein neues EMG-Meß- und Übungsgerät mit automatischer Datenspeicherung für Amputierte. A New EMG-Training Device with Automatic Data Storage for Amputees

1988 ◽  
Vol 33 (5) ◽  
pp. 105-109
Author(s):  
W. Roßdeutscher ◽  
U. Boenick ◽  
V. Matute
Keyword(s):  
Data Storage ◽  
Training Device ◽  
Automatic Data ◽  
Emg Training

RFID Technologies and Applications

2010 ◽  
pp. 44-53
Author(s):  
Christian Kaspar ◽  
Adam Melski ◽  
Britta Lietke ◽  
Madlen Boslau ◽  
Svenja Hagenhoff
Keyword(s):  
Data Storage ◽  
Radio Frequency Identification ◽  
Data Entry ◽  
Radio Waves ◽  
Automatic Data ◽  
American Military ◽  
Digital World ◽  
Transparent Objects ◽  
Frequency Identification ◽  
Passive Transponders

Radio frequency identification (RFID) is a radiosupported identification technology that typically operates by saving a serial number on a radio transponder that contains a microchip for data storage. Via radio waves, the coded information is communicated to a reading device (Jones et al., 2005). RFID does not represent a new development; it was devised by the American military in the 1940s. Since the technology’s clearance for civil use in 1977, RFID has been successfully used for the identification of productive livestock, for electronic immobilizer systems in vehicles, or for the surveillance of building entrances (Srivastava, 2005). Due to decreasing unit costs (especially for passive transponders), RFID technologies now seem increasingly applicable for the labeling of goods and semi-finished products. By this, manual or semi-automatic data entry, for instance through the use of barcodes, can be avoided. This closes the technical gap between the real world (characterized by the lack of distribution transparency of its objects) and the digital world (characterized by logically and physically unambiguous and therefore distribution-transparent objects). In addition, RFID facilitates fully automated simultaneous recognition of more than one transponder without direct line of sight between reader and transponders.

scholarly journals Secure File/Data Transfer Between Airgap Network

2021 ◽  
pp. 149-155
Author(s):  
Arathi Navaneeth ◽  
Vignesh P P ◽  
Sreehari N R ◽  
K. Pramilarani
Keyword(s):  
Image Processing ◽  
Data Storage ◽  
Data Privacy ◽  
Data Communication ◽  
Computer Training ◽  
Training Dataset ◽  
Computer Data ◽  
Automatic Data ◽  
Rsa Algorithm ◽  
Confidential Data

Wireless Data communication is fastest growing technology era in which the research society has recently embarked. Today, Computer data can include financial transactions such as electronic payments, M- wallets and sensitive multimedia contents. The explosive volumes of computer devices personal data, bring-up more attention to securely data storage rather than consideration on data privacy and confidentiality levels. In this scenario Air Gap Data Communication, Machine Leaning (ML) and image processing brings an important role in the electronic data management. It is always expensive and hard to manage the data manually without adopting machine learning and image processing techniques using metadata. The contribution of this research article is to demonstrate a securing computer data storage secrecy and privacy in cloud communication framework in terms of automatic data classification using computer training datasets with help of Training dataset which classifies the data based on the confidentiality level of the record with higher accuracy and powerful timelines as compared to the traditional KNN algorithms and RSA algorithm securing such confidential data category afterwards by applying various existing cryptographic solutions to assuring data privacy, confidentiality levels and alerting the use of abusive contents and simulation results demonstrates that reducing the overall cost. Training dataset which classifies the data based on the confidentiality level of the record with higher accuracy and powerful timelines as compared to the traditional KNN algorithms and RSA algorithm securing such confidential data category.

scholarly journals IoT-Based Kobela Teaching Aid for Mathematics Learning Multiplication and Division Materials for Grade II Elementary School Students

2021 ◽  
Vol 5 (3) ◽  
pp. 1142
Author(s):  
Muhammad Ilham Setiawan ◽  
Novian Anggis Suwastika ◽  
Sidik Prabowo
Keyword(s):  
Elementary School ◽  
Data Storage ◽  
Mathematics Learning ◽  
Performance Testing ◽  
Learning Activities ◽  
Low Grade ◽  
School Students ◽  
Automatic Data ◽  
Average Value ◽  
Teaching Aid

Kotak Belajar Ajaib (Kobela) is props for elementary school math class II which can help learn to calculate multiplication and division. Based on research conducted by Sugeng Harnanto, Kobela can improve concentration, increase creativity and student learning outcomes. This tool has been tested in low-grade learning and extracurricular learning activities. The average student success in learning without using teaching aid is 54.56 (56.77%), after using teaching aid the average learning success rate reaches 90.52 (94.19%). The level of mastery learning for Basic Competencies: 3.1 Doing Multiplication of Two Numbers have increased by 37.42. In previous studies, the application of Kobela teaching aid in all learning activities was still manual-based. Potential or opportunities for development, especially for reading assessments and automatic data storage are possible to be achieved by implementing the Internet of Things (IoT). In this study, Kobela was built which implements IoT technology for reading, assessment, and recording based on learning activities. Then evaluate the system by testing the functionality of all the learning activities. From the test results, it was found that the system was running 100% by the specified function. The results of system performance testing in terms of sensor readings are on average 3 seconds with 8 Watt room lighting conditions and the average value of the assessment accuracy is 84.

scholarly journals Archiving and retrieval of data from the International Ultraviolet Explorer (IUE) mission

1982 ◽  
Vol 64 ◽  
pp. 115-117
Author(s):  
W. H. Warren ◽  
D. F. Alderman
Keyword(s):  
Data Base ◽  
Data Storage ◽  
Retrieval System ◽  
Data Entry ◽  
Image Data ◽  
Storage Space ◽  
Automatic Data ◽  
Data Entry System ◽  
International Ultraviolet Explorer ◽  
Time Limitations

AbstractThe data base of IUE spectra available for dissemination to the scientific community presently contains approximately 22,000 separate images. Due to storage space and computer processing time limitations, it was decided to store the data on high density (6250 bpi) specially formatted tapes and to retrieve and reconvert them to the originally supplied format upon request. The archival/retrieval system for the data and an automatic data entry system for creation and maintenance of an indexing data base are described. Suggestions are made for the use of standard formats for future image data storage, retrieval and dissemination.

scholarly journals Kamchatka seismic monitoring and Earthquake prediction system and its evolution. Main results of observations in 2016-2020

2021 ◽  
Vol 3 (3) ◽  
pp. 28-49
Author(s):  
Danila Chebrov ◽  
Sergey Tikhonov ◽  
Dmitry Droznin ◽  
Svetlana Droznina ◽  
Evgeny Matveenko ◽  
...  
Keyword(s):  
Data Storage ◽  
Earthquake Prediction ◽  
High Speed ◽  
High Performance ◽  
Data Exchange ◽  
Regional Scale ◽  
Seismic Monitoring ◽  
Prediction System ◽  
Automatic Data ◽  
Data Acquiring

In this paper we present brief review of results of Kamchatka Seismic Monitoring and Earthquake Prediction System operations in the last five years. In addition, the retrospective of development of hardware, equipment and software of the System performed. The main direction in the System evolution in this period concerned the creation and modernization of data acquiring and pro-cessing methods. One of main results is creation basic informational space, that includes all pro-cesses if seismic observations, from data acquiring till exchange (including external users) of da-ta processing results. In particular, the system of data storage was deeply modernized, high-speed access to the data archive was provides, high-performance computing clusters were deployed, all seismic stations were combined in the unified network. Development algorithms and software for data processing and seismic regime controlling was continued. Creation and development of the Seismological Data Informational System (SDIS) provide the access to seismic observations re-sults for research community. The service of automatic data exchange with external users was created and incorporated in SDIS. Kamchatka Seismic Monitoring and Earthquake Prediction System in 2016-2020 allowed registering and processing over 83 thousand tectonic and volcanic earthquakes. The complex studies for seven the strongest ones were conducted. Detailed analysis showed, that magnitude of completeness for regional scale is MLc=2.5, and for local scale (for example – volcano seismic monitoring) – MLc=–0.2.

scholarly journals Development of Easyget Algorithm for Deep Learning Sculptor Deepcnet Model using Hadoop Architecture

2020 ◽  
Vol 9 (4) ◽  
pp. 1646-1650
Keyword(s):  
Deep Learning ◽  
Brain Tumor ◽  
Brain Tumors ◽  
Data Storage ◽  
Medical Images ◽  
Manual Segmentation ◽  
Storage Space ◽  
Automatic Data ◽  
Storage And Retrieval ◽  
The Brain

Manual segmentation in the brain tumors analyses for malignancy prognosis, via massive amount MRI images produced through medical routine, frustrating task and is a hard. There is a dependence on automated brain tumor graphic segmentation. The amount of precision necessary for scientific purposes is normally as yet not known, and so can't be conveniently quantified actually by means of professional physicians. That is a fascinating point, which includes just sparsely been resolved in the literature, but is nonetheless truly relevant up to now. Additionally, storage space automatization for medical images is essential need nowadays. To carry out very quickly analysis as well as, prognosis there's an imperative want of automated photo storage. Hence, this paper focused on development of new algorithm called “EasyGet” for automatic data storage and retrieval using Hadoop architecture

RFID Technologies and Applications

2009 ◽  
pp. 1232-1239 ◽  
Author(s):  
Christian Kaspar
Keyword(s):  
Data Storage ◽  
Radio Frequency Identification ◽  
Data Entry ◽  
Radio Waves ◽  
Automatic Data ◽  
American Military ◽  
Digital World ◽  
Transparent Objects ◽  
Frequency Identification ◽  
Passive Transponders

Radio frequency identification (RFID) is a radio-supported identification technology that typically operates by saving a serial number on a radio transponder that contains a microchip for data storage. Via radio waves, the coded information is communicated to a reading device (Jones et al., 2005). RFID does not represent a new development; it was devised by the American military in the 1940s. Since the technology’s clearance for civil use in 1977, RFID has been successfully used for the identification of productive livestock, for electronic immobilizer systems in vehicles, or for the surveillance of building entrances (Srivastava, 2005). Due to decreasing unit costs (especially for passive transponders), RFID technologies now seem increasingly applicable for the labeling of goods and semi-finished products. By this, manual or semi-automatic data entry, for instance through the use of barcodes, can be avoided. This closes the technical gap between the real world (characterized by the lack of distribution transparency of its objects) and the digital world (characterized by logically and physically unambiguous and therefore distribution-transparent objects). In addition, RFID facilitates fully automated simultaneous recognition of more than one transponder without direct line of sight between reader and transponders.

scholarly journals Development of Non-Invasive Blood Glucose Level Monitoring System using Phone as a Patient Data Storage

2020 ◽  
Vol 10 (2) ◽  
pp. 103
Author(s):  
Riska Ekawita ◽  
Ahmad Azmi Nasution ◽  
Elfi Yuliza ◽  
Nursakinah Suardi ◽  
Suwarsono Suwarsono
Keyword(s):  
Blood Glucose ◽  
Wireless Communication ◽  
Data Storage ◽  
Glucose Level ◽  
Communication Systems ◽  
Measuring System ◽  
Glucose Measurement ◽  
Design System ◽  
Automatic Data ◽  
Non Invasive

Glucose levels that accumulate in the blood can cause other organ disorders and even cause death. To prevent such occurrence, continuous and regular glucose measuring and monitoring is required for diabetes mellitus (DM) patients. Glucose measurement for DM patients are generally performed several times a day, so be required easy, harmless method of measuring the DM patients, and monitoring data are well recorded. Thus in this research, an android non-invasive glucose level system with wireless communication and automatic data storage on the phone’s memory was developed. The study was begun with the built of electronic and software systems as the central part of the measuring system. The electronic section consists of laser and light sensors that respond to a change in blood glucose (BG) levels, the microcontroller that controlled all of the measuring processes, and Bluetooth modules as transceiver on data communication of the android. The software section is built using an App Inventor developed by the Massachusetts Institute of Technology (MIT) to display and store data measurement on the mobile phone. The calibration process of light sensors is done with the standard tool and at last, the wireless communication systems testing and BG levels measurement. The result shows that 94 mg/dl of BG levels by standard tools equals 2.86 volts of voltage measured by the design system. The higher the BG level, the lower the voltage be. Increase the BG level causes the resistance between the transmitter and the receiver to raise and the voltage becomes low.

scholarly journals Pemanfaatan Teknologi Informasi (Software Perpustakan) pada Sekolah

2018 ◽  
pp. 33-41
Author(s):  
Delvalina Delvalina
Keyword(s):  
Data Storage ◽  
Storage System ◽  
Routine Activity ◽  
Automatic Data ◽  
Data Storage System

In a school, the flow of borrowing and lending the books is a routine activity with a high amount of transaction. All transaction are the matter to be booked and noted. Every transaction needs noting of some information like identities of the borrowers that creates high circulation of transactions. These transactions need a well established data storage system in order to be easily and fast processed. But unfortunately, at schools there are no library application as an automatic data storage machine to ease the work of librarians and to simpler the visitors’ searching of the books. By the availability of this software, it is expected that users of this library can get the information they need.

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