scholarly journals Shipboard Data Compression Method for Sustainable Real-Time Maritime Communication in Remote Voyage Monitoring of Autonomous Ships

2021 ◽  
Vol 13 (15) ◽  
pp. 8264
Author(s):  
Irena Jurdana ◽  
Nikola Lopac ◽  
Nobukazu Wakabayashi ◽  
Hongze Liu
Keyword(s):  
Data Compression ◽  
Real Time ◽  
Data Transmission ◽  
Information Exchange ◽  
Data Exchange ◽  
Transmission Rate ◽  
Digital Data ◽  
Monitoring And Control ◽  
Compression Method ◽  
Data Encoding

Due to the ever-increasing amount of data collected and the requirements for the rapid and reliable exchange of information across many interconnected communication devices, land-based communications networks are experiencing continuous progress and improvement of existing infrastructures. However, maritime communications are still characterized by slow communication speeds and limited communication capacity, despite a similar trend of increasing demand for information exchange. These limitations are particularly evident in digital data exchange, which is still limited to relatively slow and expensive narrowband satellite transmission. Furthermore, with the increasing digitalization of ships and introducing the sustainable concept of autonomous ship operation, large amounts of collected data need to be transmitted in real-time to enable remote voyage monitoring and control, putting additional pressure on the already strained means of maritime communications. In this paper, an adaptive shipboard data compression method based on differential binary encoding is proposed for real-time maritime data transmission. The proposed approach is verified on the actual data collected on board a training ship equipped with the latest data acquisition system. The obtained results show that the proposed data encoding method efficiently reduces the transmitted data size to an average of 3.4% of the original shipboard data, thus significantly reducing the required data transmission rate. Moreover, the proposed method outperforms several other tested competing methods for shipboard data encoding by up to 69.6% in terms of compression efficiency. Therefore, this study suggests that the proposed data compression approach can be a viable and efficient solution for transmitting large amounts of digital shipboard data in sustainable maritime real-time communications.

Intelligent Heat Meter of Monitoring and Controlling System for Heating Supply Based on GPRS Network

2012 ◽  
Vol 614-615 ◽  
pp. 695-700 ◽  
Author(s):  
Xing Zhe Piao ◽  
Yu Shan Xue ◽  
Cheng Gao ◽  
Ying Shun Li
Keyword(s):  
Real Time ◽  
Data Transmission ◽  
Data Exchange ◽  
Transmission Rate ◽  
Measuring Instruments ◽  
Heat Meter ◽  
Time Data ◽  
Data Transmission Rate ◽  
Lc Oscillator ◽  
And Control

In order to realize long-range real-time online monitor and control of the measured data on the spot, and bring about control consumption of heat-energy according to need, a heat meter is developed for heating supply based on GPRS network technology. Low-power single-chip microcomputer MSP430FW427 is adopted as the measuring instruments in which SIEMENS MC55 module was used as a GPRS communication and LC oscillator coupling technology as flow sensor. In addition, the measurement principle of the heat quantity, the design methods of the software and hardware for heat meter are explained in detail, and the mathematical models of temperature and liquid sensor are established in the paper. Application of GPRS communication technology provides a transparent data transmission channel, thus realizing real-time data exchange between fared knots and monitoring center. On-the-spot operations prove that when the system is in real operation, data transmission rate is about 61.8kbps, thus having more advantages of security，accuracy and data transmission rate, effectively solving the problem of a large number of investment on traditional remote monitoring and control system.

scholarly journals A State-wide Health IT Infrastructure for Population Health: Building a Community-wide Electronic Platform for Maryland’s All-Payer Global Budget

2017 ◽  
Vol 9 (3) ◽  
Author(s):  
Elham Hatef ◽  
Hadi Kharrazi ◽  
Ed VanBaak ◽  
Marc Falcone ◽  
Lindsey Ferris ◽  
...  
Keyword(s):  
Data Collection ◽  
Real Time ◽  
Population Health ◽  
Information Exchange ◽  
Health Information Exchange ◽  
Smoking Status ◽  
Digital Data ◽  
Health It ◽  
Global Budget ◽  
Health Initiatives

Maryland Department of Health (MDH) has been preparing for alignment of its population health initiatives with Maryland’s unique All-Payer hospital global budget program. In order to operationalize population health initiatives, it is required to identify a starter set of measures addressing community level health interventions and to collect interoperable data for those measures. The broad adoption of electronic health records (EHRs) with ongoing data collection on almost all patients in the state, combined with hospital participation in health information exchange (HIE) initiatives, provides an unprecedented opportunity for near real-time assessment of the health of the communities. MDH’s EHR-based monitoring complements, and perhaps replaces, ad-hoc assessments based on limited surveys, billing, and other administrative data. This article explores the potential expansion of health IT capacity as a method to improve population health across Maryland.First, we propose a progression plan for four selected community-wide population health measures: body mass index, blood pressure, smoking status, and falls-related injuries. We then present an assessment of the current and near real-time availability of digital data in Maryland including the geographic granularity on which each measure can be assessed statewide. Finally, we provide general recommendations to improve interoperable data collection for selected measures over time via the Maryland HIE. This paper is intended to serve as a high- level guiding framework for communities across the US that are undergoing healthcare transformation toward integrated models of care using universal interoperable EHRs.

A Real-time Synchrophasor Data Compression Method Using Singular Value Decomposition

2021 ◽  
pp. 1-1
Author(s):  
Reza Pourramezan ◽  
Reza Hassani ◽  
Houshang Karimi ◽  
Mario Paolone ◽  
Jean Mahseredjian
Keyword(s):  
Singular Value Decomposition ◽  
Data Compression ◽  
Real Time ◽  
Singular Value ◽  
Compression Method ◽  
Value Decomposition

Reconfigurable distributed real-time processing for multi-robot control: Design, implementation and experimentation

Robotica ◽  
2004 ◽  
Vol 22 (6) ◽  
pp. 661-679 ◽  
Author(s):  
J. Z. Pan ◽  
R. V. Patel
Keyword(s):  
Real Time ◽  
Information Exchange ◽  
Robot Control ◽  
Data Exchange ◽  
Processing System ◽  
System Level ◽  
Layered System ◽  
Test Bed ◽  
Design And Implementation ◽  
Multi Robot

Sophisticated robotic applications require systems to be reconfigurable at the system level. Aiming at this requirement, this paper presents the design and implementation of a software architecture for a reconfigurable real-time multi-processing system for multi-robot control. The system is partitioned into loosely coupled function units and the data modules manipulated by the function units. Modularized and unified structures of the sub-controllers and controller processes are designed and constructed. All the controller processes run autonomously and intra-sub-controller information exchange is realized by shared data modules that serve as a data repository in the sub-controller. The dynamic data-management processes are responsible for data exchange among sub-controllers and across the computer network. Among sub-controllers there is no explicit temporal synchronization and the data dependencies are maintained by using datum-based synchronization. The hardware driver is constructed as a two-layered system to facilitate adaptation to various robotic hardware systems. A series of effective schemes for software fault detection, fault anticipation and fault termination are accomplished to improve run-time safety. The system is implemented cost-effectively on a QNX real-time operating system (RTOS) based system with a complete PC architecture, and experimentally validated successfully on an experimental dual-arm test-bed. The results indicate that the architectural design and implementation are well suited for advanced application tasks.

Design and Implement of the Wireless Real-Time Data Transmission System Based on USB

2013 ◽  
Vol 310 ◽  
pp. 596-600 ◽  
Author(s):  
Xiao Guang Li
Keyword(s):  
Real Time ◽  
Error Rate ◽  
Data Transmission ◽  
Transmission Rate ◽  
Transmission System ◽  
Time Data ◽  
Real Time Data ◽  
Data Transmission System ◽  
Data Error ◽  
Wireless Module

In order to overcome the disadvantages of small broadband, low transmission rate, network delay and high error rate in the locomotive real-time data transmission. A new wireless real-time data transmission system is designed by using nRF24L01 based on USB2.0.Which includes CY7C68013A chip of CYPRESS company and nRF24L01 wireless module, gives communication principle interface electrics circuit between CY7C68013A chip and nRF24L01 wireless module, focus on the hardware and software designs according to practical application and analyze real-time of the data during transporting. An algorithm for reducing real-time data error rate is developed to achieve efficient real-time data transmission. Experiments proved that the system is easy to control and works stably to perform reliable wireless real-time data transmission.

scholarly journals CAN network in real time on board systems

2017 ◽  
Vol 171 (4) ◽  
pp. 211-214
Author(s):  
Michał ŚMIEJA ◽  
Sławomir WIERZBICKI ◽  
Jarosław MAMALA
Keyword(s):  
Real Time ◽  
Data Transmission ◽  
Data Exchange ◽  
Data Transfer ◽  
Network Data ◽  
Network System ◽  
Exchange System ◽  
Use Of Time ◽  
Event Triggering ◽  
Triggering Mechanisms

The network system of data exchange between the various components is an inherent element of every car. Because of the specific and different requirements for data transfer between specific devices, currently used communication protocols have different properties of performance, security, and degree of determinism. The paper presents the increasing complexity of the data exchange system based on the example of the latest requirements for digital tachographs. The article describes also the data transmission initialization methods in the context of network data exchange organization. The hybrid use of time triggering and event triggering mechanisms has been presented in relation to the operation of the CAN network under increased real-time conditions requirements implemented as TTCAN (time triggered CAN).

scholarly journals USE OF NEW EFFICIENT LOSSLESS DATA COMPRESSION METHOD IN TRANSMITTING ENCRYPTED BAPTISTA SYMMETRIC CHAOTIC CRYPTOSYSTEM DATA

2016 ◽  
Vol 78 (6-4) ◽  
Author(s):  
Muhamad Azlan Daud ◽  
Muhammad Rezal Kamel Ariffin ◽  
S. Kularajasingam ◽  
Che Haziqah Che Hussin ◽  
Nurliyana Juhan ◽  
...  
Keyword(s):  
Data Compression ◽  
Data Transmission ◽  
Compression Algorithm ◽  
Huffman Coding ◽  
Compression Method ◽  
Compression Technique ◽  
Chaotic Dynamical System ◽  
Fast Encoding ◽  
Compression Mechanism ◽  
Lossless Data Compression

A new compression algorithm used to ensure a modified Baptista symmetric cryptosystem which is based on a chaotic dynamical system to be applicable is proposed. The Baptista symmetric cryptosystem able to produce various ciphers responding to the same message input. This modified Baptista type cryptosystem suffers from message expansion that goes against the conventional methodology of a symmetric cryptosystem. A new lossless data compression algorithm based on theideas from the Huffman coding for data transmission is proposed.This new compression mechanism does not face the problem of mapping elements from a domain which is much larger than its range.Our new algorithm circumvent this problem via a pre-defined codeword list.  The purposed algorithm has fast encoding and decoding mechanism and proven analytically to be a lossless data compression technique.

scholarly journals The Development of IoT Compression Technique To Cloud

2019 ◽  
Vol 13 (4) ◽  
pp. 345
Author(s):  
Kartika Sari ◽  
Mardhani Riasetiawan
Keyword(s):  
Data Compression ◽  
Data Transmission ◽  
Data Exchange ◽  
Compression Technique ◽  
Compression Efficiency ◽  
Data Coding ◽  
Testing Data ◽  
Modelling Techniques ◽  
Original Size ◽  
Size Data

The main problem of data transmission is how to reduce the length of data packet delivery, so it can reduce the time of sending data. One method that can be used to reduce the data size is by compressing the data size. Data compression is a technique for compressing data to get the data with smaller size than the original size so that it can shorten the data exchange timeThis study aims to develop the data compression techniques by modifying and combining the coding and modelling techniques based on the RAKE algorithm. This study testing experiments use 4 different methods in 5 different time-periods to determine the value of the compression, decompression efficiency parameters, and the data transmission time parameters.The result of this study is the data coding technique that using decimal to binary converter data and the modeling technique by calculating the residue from the sensor value will produce data in small sizes and get a compression efficiency value of 45%. For coding techniques using ASCII and modeling techniques with XOR operations will produce bigger size data and the compression efficiency value of 71%. In testing data decompression, the decompression efficiency value of 100%, there is no data loss.

scholarly journals Adaptive Coding in Control of Two Satellites Relative Motion Over the Packet Erasure Communication Channel

2020 ◽  
Author(s):  
Boris Andrievsky ◽  
Alexander Fradkov ◽  
Elena Kudryashova
Keyword(s):  
Data Transmission ◽  
Data Exchange ◽  
Communication Channel ◽  
Transmission Rate ◽  
Control Law ◽  
Data Transmission Rate ◽  
High Data ◽  
Navigation Data ◽  
Binary Coding

The paper is focused on the navigation data exchange between two satellites moved in a swarm. The feedback control law is designed ensuring regulation of the relative satellites motion. The adaptive binary coding/decoding procedure for data transmission over the limited capacity communication channel is proposed and studied for the cases of ideal and erasure channel. Dependence of the regulation time on the data transmission rate is numerically found. The results obtained provides dependence of the required load of the communication channel on the desired quality of the stabilization process. It is demonstrated that for significantly high data transmission rate erasure of data in the channel with probability up to 0.3 does not make an effect on the regulation time.

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