scholarly journals SlicerArduino: A Bridge between Medical Imaging Platform and Microcontroller

2020 ◽  
Vol 7 (3) ◽  
pp. 109
Author(s):  
Paolo Zaffino ◽  
Alessio Merola ◽  
Domenico Leuzzi ◽  
Virgilio Sabatino ◽  
Carlo Cosentino ◽  
...  
Keyword(s):  
Medical Image ◽  
Image Process ◽  
Input Output ◽  
Real Time Control ◽  
3D Slicer ◽  
Time Control ◽  
Communication Layer ◽  
Deep Integration ◽  
Hardware Platforms ◽  
Basic Input

Interaction between medical image platform and external environment is a desirable feature in several clinical, research, and educational scenarios. In this work, the integration between 3D Slicer package and Arduino board is introduced, enabling a simple and useful communication between the two software/hardware platforms. The open source extension, programmed in Python language, manages the connection process and offers a communication layer accessible from any point of the medical image suite infrastructure. Deep integration with 3D Slicer code environment is provided and a basic input–output mechanism accessible via GUI is also made available. To test the proposed extension, two exemplary use cases were implemented: (1) INPUT data to 3D Slicer, to navigate on basis of data detected by a distance sensor connected to the board, and (2) OUTPUT data from 3D Slicer, to control a servomotor on the basis of data computed through image process procedures. Both goals were achieved and quasi-real-time control was obtained without any lag or freeze, thus boosting the integration between 3D Slicer and Arduino. This integration can be easily obtained through the execution of few lines of Python code. In conclusion, SlicerArduino proved to be suitable for fast prototyping, basic input–output interaction, and educational purposes. The extension is not intended for mission-critical clinical tasks.

A Key Management Scheme for Secure Communications Based on Smart Grid Requirements (KMS-CL-SG)

2016 ◽  
pp. 242-265
Author(s):  
Bashar Alohali ◽  
Kashif Kifayat ◽  
Qi Shi ◽  
William Hurst
Keyword(s):  
Smart Grid ◽  
Cyber Security ◽  
Key Management ◽  
Monitoring And Control ◽  
Security Threat ◽  
Real Time Control ◽  
Time Control ◽  
Management Scheme ◽  
Communication Layer ◽  
Key Management Scheme

Over the last decade, Internet of Things (IoTs) have brought radical changes to the means and forms of communication for monitoring and control of a large number of applications including Smart Grid (SG). Traditional energy networks have been modernized to SGs to boost the energy industry in the context of efficient and effective power management, performance, real-time control and information flow using two-way communication between utility provides and end-users. However, integrating two-way communication in SG comes at the cost of cyber security vulnerabilities and challenges. In the context of SG, node compromise is a severe security threat due to the fact that a compromised node can significantly impact the operations and security of the SG network. Therefore, in this chapter, Key Management Scheme for Communication Layer in the Smart Grid (KMS-CL-SG) has proposed. In order to achieve a secure end-to-end communication we assign a unique key to each node in the group.

A Key Management Scheme for Secure Communications Based on Smart Grid Requirements (KMS-CL-SG)

2020 ◽  
pp. 319-343
Author(s):  
Bashar Alohali ◽  
Kashif Kifayat ◽  
Qi Shi ◽  
William Hurst
Keyword(s):  
Smart Grid ◽  
Cyber Security ◽  
Key Management ◽  
Monitoring And Control ◽  
Security Threat ◽  
Real Time Control ◽  
Time Control ◽  
Management Scheme ◽  
Communication Layer ◽  
Key Management Scheme

Over the last decade, Internet of Things (IoTs) have brought radical changes to the means and forms of communication for monitoring and control of a large number of applications including Smart Grid (SG). Traditional energy networks have been modernized to SGs to boost the energy industry in the context of efficient and effective power management, performance, real-time control and information flow using two-way communication between utility provides and end-users. However, integrating two-way communication in SG comes at the cost of cyber security vulnerabilities and challenges. In the context of SG, node compromise is a severe security threat due to the fact that a compromised node can significantly impact the operations and security of the SG network. Therefore, in this chapter, Key Management Scheme for Communication Layer in the Smart Grid (KMS-CL-SG) has proposed. In order to achieve a secure end-to-end communication we assign a unique key to each node in the group.

A Real Time Control Architecture for Continuously Managing Patients in a Care Unit

1995 ◽  
Vol 34 (05) ◽  
pp. 475-488
Author(s):  
B. Seroussi ◽  
J. F. Boisvieux ◽  
V. Morice
Keyword(s):  
Real Time ◽  
Linear Time ◽  
Treatment Plan ◽  
Control Architecture ◽  
Real Time Control ◽  
Time Representation ◽  
Time Control ◽  
Continuous Support ◽  
Definition Of ◽  
Computerized System

Abstract:The monitoring and treatment of patients in a care unit is a complex task in which even the most experienced clinicians can make errors. A hemato-oncology department in which patients undergo chemotherapy asked for a computerized system able to provide intelligent and continuous support in this task. One issue in building such a system is the definition of a control architecture able to manage, in real time, a treatment plan containing prescriptions and protocols in which temporal constraints are expressed in various ways, that is, which supervises the treatment, including controlling the timely execution of prescriptions and suggesting modifications to the plan according to the patient’s evolving condition. The system to solve these issues, called SEPIA, has to manage the dynamic, processes involved in patient care. Its role is to generate, in real time, commands for the patient’s care (execution of tests, administration of drugs) from a plan, and to monitor the patient’s state so that it may propose actions updating the plan. The necessity of an explicit time representation is shown. We propose using a linear time structure towards the past, with precise and absolute dates, open towards the future, and with imprecise and relative dates. Temporal relative scales are introduced to facilitate knowledge representation and access.

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