New Methodology of Designing Inexpensive Hybrid  Control-Acquisition Systems for Mechatronic Constructions

Augustyn, Jacek

doi:10.3390/s131217222

Cited by 3 publications

(6 citation statements)

References 21 publications

(18 reference statements)

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“…The performance of the test system given in section 3 is actually poorer than capabilities reported in [1,10], where all algorithms has been implemented in native (compiled) programming languages. The difference is particularly large in throughput.…”

Section: Proposed Optimisation and Its Effectmentioning

confidence: 82%

“…The design of modern embedded measurement and control systems is moving towards hybrid solutions [1]. They typically involve two main modules: i) a fast acquisition/execution or measurement and control module, the name depending on the application field, and ii) a master module comprising user interfaces, logging subsystem, and external data exchange links.…”

Section: Introductionmentioning

confidence: 99%

“…A commercial off-the-shelf (COTS) device, such as a PDA, a tablet or a smartphone is proposed in the literature for the module [1], [4][5][6][7][8]. CTOS devices are typically equipped with data exchange interfaces, such as Wi-Fi, Ethernet, Bluetooth, GSM/EDGE/LTE and interact with a user via a touch-sensitive GUI.…”

Section: Introductionmentioning

confidence: 99%

“…For this reason a Universal Serial Bus (USB) interface is proposed to link the acquisition/execution and the master modules [1,3].…”

Section: Introductionmentioning

confidence: 99%

“…Such compatibility between the performance levels at the development and production stages is necessary for the portability reason. Details of the connection performance in target solutions implemented with native language can be found in [10], [1], where a throughput in the range of 600-700 kB/s has been obtained. The use of interpreted scripted languages (e.g.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation and Optimisation of Communication Performance in a Hybrid Measurement and Control System

Augustyn¹,

Tutaj²

2014

SIC

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Abstract:In a modern hybrid measurement and control system a high-speed data acquisition/execution module communicates with a master management and control unit. A typical solution may involve a System on Chip (SoC) device, like ARM Cortex-M core based microcontroller, linked via USB bus with a Commercial Off-The-Shelf (COTS) appliance, such as a tablet, a smartphone, or a PDA. During prototyping stage the COTS is usually temporarily substituted with a PC computer running a rapid prototyping tool such as MATLAB. The paper presents software design considerations and discusses the results of extensive experiments conducted in order to assess if such a prototyping configuration is able to provide a kind of real-time communication performance comparable to that expected in the target system. An optimisation technique is proposed that considerably improves statistics of throughput, round trip time and packet exchanged frequency and that utilises standard operating system software components.

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Section: Proposed Optimisation and Its Effectmentioning

confidence: 82%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…For this reason a Universal Serial Bus (USB) interface is proposed to link the acquisition/execution and the master modules [1,3].…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Evaluation and Optimisation of Communication Performance in a Hybrid Measurement and Control System

Augustyn¹,

Tutaj²

2014

SIC

Self Cite

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Hi-Speed USB Based Middleware for Integration of Real-Time Systems with the Cloud

Augustyn

Maślanka

Hamuda

2016

International Journal of Distributed Sensor Networks

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An important aspect of realizations of the Internet of Things containing sophisticated sensors and actuators is their integration with the Cloud, by the use of a middleware. This integration results in handling streams of data produced by sensors as well as streams sent back to actuators. In cases for which both large streams and a short reaction time are required, a special real-time oriented approach is necessary to design and build an interconnecting middleware. This paper proposes a hybrid low-cost, low-power middleware architecture for handling and processing of sensor related data streams. It is based on two microprocessor boards interconnected by high speed USB link. Variants including three embedded hardware implementations of the proposed architecture, two software realizations (single and multithread ones), and two process scheduling algorithms have been examined to evaluate their real-time performances. Series of experiments have been performed in order to measure closed loop control times and sensor data streams achievable in practice. An outcome is presented and discussed in detail. Obtained results confirm that the proposed architecture can be applied as middleware to integrate such elements of Internet of Things as robots and similarly time-constrained systems with the Cloud. The results can serve as reference point in research and development of real-time middleware solutions.

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Design and implementation of real-time object detection system based on single-shoot detector and OpenCV

Wahab

Ullah²,

Shah³

et al. 2022

Front. Psychol.

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Computer vision (CV) and human–computer interaction (HCI) are essential in many technological fields. Researchers in CV are particularly interested in real-time object detection techniques, which have a wide range of applications, including inspection systems. In this study, we design and implement real-time object detection and recognition systems using the single-shoot detector (SSD) algorithm and deep learning techniques with pre-trained models. The system can detect static and moving objects in real-time and recognize the object’s class. The primary goals of this research were to investigate and develop a real-time object detection system that employs deep learning and neural systems for real-time object detection and recognition. In addition, we evaluated the free available, pre-trained models with the SSD algorithm on various types of datasets to determine which models have high accuracy and speed when detecting an object. Moreover, the system is required to be operational on reasonable equipment. We tried and evaluated several deep learning structures and techniques during the coding procedure and developed and proposed a highly accurate and efficient object detection system. This system utilizes freely available datasets such as MS Common Objects in Context (COCO), PASCAL VOC, and Kitti. We evaluated our system’s accuracy using various metrics such as precision and recall. The proposed system achieved a high accuracy of 97% while detecting and recognizing real-time objects.

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New Methodology of Designing Inexpensive Hybrid Control-Acquisition Systems for Mechatronic Constructions

Cited by 3 publications

References 21 publications

Evaluation and Optimisation of Communication Performance in a Hybrid Measurement and Control System

Evaluation and Optimisation of Communication Performance in a Hybrid Measurement and Control System

Hi-Speed USB Based Middleware for Integration of Real-Time Systems with the Cloud

Design and implementation of real-time object detection system based on single-shoot detector and OpenCV

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