scholarly journals Rancang Bangun Pengembangan Sistem Controller Processing Station pada Factory Trainer di Laboratorium Mekatronika Program Studi Teknik Elektronika

2020 ◽  
Vol 1 (1) ◽  
pp. 2
Author(s):  
Anggy Cahya Merru ◽  
Yulianto Yulianto ◽  
Hariyadi Singgih
Keyword(s):  
Data Memory

Otomatisasi sangat dibutuhkan dalam kehidupan initerutama dalam dunia perindustrian. Seiring dengan kemajuanzaman yang menuntut pekerjaan manusia menjadi lebih efektifdan efisien, maka diperlukan sebuah sistem otomatisasi. Sistemini sangat berguna meningkatkan suatu target dalam industri danmemudahkan manusia untuk mengontrol alat-alat dalam sebuahproses produksi. Dengan rancang bangun pengembangan con-troller mini factory trainer processing station diimplementasikanjuga dengan sistem SCADA dan juga pembuatan wiring diagramsistem controller processing station dirancang dengan menggu-nakan PLC Omron CP1E-N40 sebagai sistem pengendali darimini factory processing station. Pada perancangan akan dibuatprogram pengendali dan pengawasan terhadap plant processingstation. Diharapkan sistem controller dapat berkomunikasi den-gan HMI yang mengontrol plant. Percobaan dapat diaplikasikandengan menguji perbedaan interval waktu antara PLC CP1Etype E dengan PLC CP1E type N. Hasil yang didapatkan adalahterjadi perbedaan waktu antara 0,9 detik sampai 0,12 detik.Hal ini dikarenakan adanya perbedaan kapasitas program dankapasitas data memory dari PLC CP1E type E dengan PLC CP1Etype N.

scholarly journals High-bandwidth data memory systems for superscalar processors

1991 ◽  
Vol 26 (4) ◽  
pp. 53-62 ◽  
Author(s):  
Gurindar S. Sohi ◽  
Manoj Franklin
Keyword(s):  
Memory Systems ◽  
Superscalar Processors ◽  
Data Memory ◽  
High Bandwidth

scholarly journals Identifying and Exploiting Spatial Regularity in Data Memory References

2003 ◽  
Author(s):  
Tushar Mohan ◽  
Bronis R. de Supinski ◽  
Sally A. McKee ◽  
Frank Mueller ◽  
Andy Yoo ◽  
...  
Keyword(s):  
Data Memory ◽  
Spatial Regularity

EEPROM data memory

2008 ◽  
pp. 199-206
Author(s):  
D.W. Smith
Keyword(s):  
Data Memory

Design and Implementation of a Firmware Update Protocol for Resource Constrained Wireless Sensor Networks

2011 ◽  
Vol 2 (3) ◽  
pp. 50-68 ◽  
Author(s):  
Teemu Laukkarinen ◽  
Lasse Määttä ◽  
Jukka Suhonen ◽  
Timo D. Hämäläinen ◽  
Marko Hännikäinen
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
External Memory ◽  
Transport Protocol ◽  
Resource Constrained ◽  
Design And Implementation ◽  
Data Memory ◽  
Program Memory

Resource constrained Wireless Sensor Networks (WSNs) require an automated firmware updating protocol for adding new features or error fixes. Reprogramming nodes manually is often impractical or even impossible. Current update protocols require a large external memory or external WSN transport protocol. This paper presents the design, implementation, and experiments of a Program Image Dissemination Protocol (PIDP) for autonomous WSNs. It is reliable, lightweight and it supports multi-hopping. PIDP does not require external memory, is independent of the WSN implementation, transfers firmware, and reprograms the whole program image. It was implemented on a node platform with an 8-bit microcontroller and a 2.4 GHz radio. Implementation requires 22 bytes of data memory and less than 7 kilobytes of program memory. PIDP updates 178 nodes within 5 hours. One update consumes under 1‰ of the energy of two AA batteries.

BZIP: A Compact Data Memory System for UTXO-based Blockchains

2019 ◽  
Author(s):  
Shuhao Jiang ◽  
Jiajun Li ◽  
Shijun Gong ◽  
Junchao Yan ◽  
Guihai Yan ◽  
...  
Keyword(s):  
Memory System ◽  
Data Memory

BZIP: A compact data memory system for UTXO-based blockchains

2020 ◽  
Vol 109 ◽  
pp. 101809
Author(s):  
Shuhao Jiang ◽  
Jiajun Li ◽  
Shijun Gong ◽  
Junchao Yan ◽  
Guihai Yan ◽  
...  
Keyword(s):  
Memory System ◽  
Data Memory

scholarly journals Optimization and implementation of the wavelet based algorithms for embedded biomedical signal processing

2013 ◽  
Vol 10 (1) ◽  
pp. 503-523 ◽  
Author(s):  
Radovan Stojanovic ◽  
Sasa Knezevic ◽  
Dejan Karadaglic ◽  
Goran Devedzic
Keyword(s):  
Wavelet Transforms ◽  
Sampling Rate ◽  
Low Complexity ◽  
Biomedical Signal Processing ◽  
Detection Accuracy ◽  
Biomedical Signal ◽  
Data Memory ◽  
Implementation Techniques ◽  
Computational Memory ◽  
Embedded Implementation

Existing biomedical wavelet based applications exceed the computational, memory and consumption resources of low-complexity embedded systems. In order to make such systems capable to use wavelet transforms, optimization and implementation techniques are proposed. The Real Time QRS Detector and ?De-noising? Filter are developed and implemented in 16-bit fixed point microcontroller achieving 800 Hz sampling rate, occupation of less than 500 bytes of data memory, 99.06% detection accuracy, and 1 mW power consumption. By evaluation of the obtained results it is found that the proposed techniques render negligible degradation in detection accuracy of -0.41% and SNR of -2.8%, behind 2-4 times faster calculation, 2 times less memory usage and 5% energy saving. The same approach can be applied with other signals where the embedded implementation of wavelets can be beneficial.

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