Quasi-Wireless Capacitive Power Transfer with Secure Data Acquisition for Robotic Systems in Space Infrastructure

Abstract. With the mechanization of agricultural operations, agricultural machinery management has become an extensive research field. Sizing tractors and implements to provide the most efficient power transfer has become an ongoing process with advances in technology. Utilization of the rotational power transferred through gear trains from the tractor engine to the power take-off (PTO) shaft is one of the most efficient methods of power transfer to an implement. This research used commercially available torque sensors that were installed on a tractor PTO shaft for measuring the torque delivered to an implement. The torque sensor was calibrated using the Nebraska Tractor Test Lab’s (NTTL) dynamometer by following the Organisation for Economic Co-operation and Development (OECD) Code 2 test procedure for varying PTO loads. The calibration of the sensor was verified using the full load at varying speeds test as described in the OECD Code 2. Tractor PTO shaft torque values measured by the torque sensor were compared to the NTTL’s dynamometer torque measurement. Differences in torque values measured between the sensor and the dynamometer ranged from 3 to 23 N·m. Student’s t-test showed no significant difference between the measurements during the full load varying speed tests which demonstrated that the sensor can be mounted on the tractor’s PTO shaft for torque data collection in field operations. Keywords: Data Acquisition, LabVIEW, Power Take-off, Torque, Tractor.

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Achieving Efficient and Secure Data Acquisition for Cloud-Supported Internet of Things in Smart Grid

IEEE Internet of Things Journal ◽

10.1109/jiot.2017.2690522 ◽

2017 ◽

Vol 4 (6) ◽

pp. 1934-1944 ◽

Cited By ~ 110

Author(s):

Zhitao Guan ◽

Jing Li ◽

Longfei Wu ◽

Yue Zhang ◽

Jun Wu ◽

...

Keyword(s):

Internet Of Things ◽

Smart Grid ◽

Data Acquisition ◽

Secure Data

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Data management at the Oulu cosmic ray station

NMDB@Home 2020 - Cosmic ray studies with neutron detectors ◽

10.38072/2748-3150/p25 ◽

2021 ◽

pp. 205-207

Author(s):

Stepan Poluianov ◽

Ilya Usoskin ◽

Askar Ibragimov

Keyword(s):

User Interface ◽

Data Acquisition ◽

Data Management ◽

Web Server ◽

Cosmic Ray ◽

Neutron Monitors ◽

Geophysical Observatory ◽

Secure Data ◽

Technical Details ◽

The Web

With the recent electronics upgrade of Antarctic neutron monitors (NMs) DOMC and DOMB in 2019, the Oulu cosmic ray station (Sodankylä Geophysical Observatory, Finland) receives a significantly larger amount of data than before. This has led to a need for an important upgrade of the configuration of servers working at the station. The new configuration has three types of servers: a web-server, a datamaster server and data acquisition machines. The web-server provides a user interface for services of the station: the main website, the GLE database and other services. The datamaster is the main server, which stores all data in raw files and a database. Data acquisition machines are computers that directly receive data from the instruments and send the files farther to the datamaster server. This work describes technical details of the cosmic ray station setup providing reliable and secure data acquisition, handling and publication.

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Efficient and Dynamic Access Control Mechanism for Secure Data Acquisition in IoT Environment

International Journal of Computing and Digital Systems ◽

10.12785/ijcds/100102 ◽

2021 ◽

Vol 10 (1) ◽

pp. 9-28

Author(s):

Ummer Iqbal ◽

Ajaz Hussain Mir

Keyword(s):

Access Control ◽

Data Acquisition ◽

Control Mechanism ◽

Secure Data ◽

Access Control Mechanism ◽

Dynamic Access Control

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Robust and Secure Data Fusion Algorithm Based on Intelligent Sensing in Wireless Sensor Networks

Wireless Communications and Mobile Computing ◽

10.1155/2020/8887632 ◽

2020 ◽

Vol 2020 ◽

pp. 1-14

Author(s):

Yong Cheng ◽

Jun Wang ◽

Shuqiang Ji ◽

Ling Yang

Keyword(s):

Wireless Sensor Network ◽

Data Collection ◽

Data Fusion ◽

Data Acquisition ◽

Sensor Network ◽

Residual Energy ◽

Wireless Sensor ◽

Fusion Algorithm ◽

Space Correlation ◽

Secure Data

Presently, the wireless sensor network (WSN) plays an important role in smart farming. However, due to the limitation of wireless sensor network resources, the time and space correlation of data acquisition is strong. In order to reduce the number of nodes participating in data compression, the robust and secure data fusion algorithm based on intelligent sensing is proposed. The algorithm can divide the whole network into many clusters. In order to maintain energy balance of nodes in the cluster, the probability of each node in each cluster participating in each round of data collection is computed according to the residual energy of the node. On the sink node, the number of sampling rounds of joint reconstruction of collected data is designated according to the application requirements and reconstruction accuracy requirements, and the number of nodes participating in is further reduced. The simulation results show that the number of nodes participating in the data collection of the proposed scheme in this paper is lower than that of the ordinary intelligent sensing LEACH data acquisition scheme. Meanwhile, the proposed scheme can dramatically extend the network lifetime. This paper provides an insight into various needs of WSN used in agriculture and challenges involved in the deployment of WSN.

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