scholarly journals Tumor grade-related language and control network reorganization in patients with left cerebral glioma

Cortex ◽  
2020 ◽  
Vol 129 ◽  
pp. 141-157 ◽  
Author(s):  
Binke Yuan ◽  
Nan Zhang ◽  
Jing Yan ◽  
Jingliang Cheng ◽  
Junfeng Lu ◽  
...  
Keyword(s):  
Tumor Grade ◽  
Control Network ◽  
Cerebral Glioma ◽  
Related Language ◽  
And Control

The Predigest Project of Vehicle-Bone Multimedia Transmission and Control Network Based on FPGA

2012 ◽  
Vol 203 ◽  
pp. 62-66
Author(s):  
Hong Li ◽  
Qiao Zhen Hou
Keyword(s):  
Network Control ◽  
Control Network ◽  
Network System ◽  
Multimedia Transmission ◽  
Transmission Control ◽  
Hardware Platform ◽  
Arm Processor ◽  
Interface Module ◽  
Fpga Chip ◽  
And Control

The design uses 32 ARM processor S3C44B0X and Spartan™ -3E500 FPGA chip produced by Xinlinx company for setting up the hardware platform, and integrates the camera, GPS module, MiniGUI interface module. And realized bus vehicle mounted multimedia transmission control network control based on MOST. All of these are in the purpose of achieving a Predigest Project of vehicle-bone multimedia transmission and control network based on FPGA. The experiment indicated that, the transmission and control network system constructed by S3C44B0X and Spartan - 3E500 FPGA is low cast, simple and reliable.

scholarly journals Control/Network Codesign Basics for IP-Based Shared Networks

2011 ◽  
Vol 2011 ◽  
pp. 1-23 ◽  
Author(s):  
Miguel Díaz-Cacho Medina ◽  
Emma Delgado Romero ◽  
Antonio Barreiro Blas
Keyword(s):  
Control Systems ◽  
Networked Control Systems ◽  
Transmission Rate ◽  
Design Parameters ◽  
Control Network ◽  
Transport Protocol ◽  
Test Platform ◽  
Shared Networks ◽  
The Stability ◽  
And Control

Network and control relationship is an essential aspect in the design of networked control systems (NCSs). The design parameters are mainly centered in the transmission rate and in the packet structure, and some studies have been made to determine how transmission rate affects the network delay and consequently the stability of the control. In Internet, these analysis are mathematically complex due to the large number of different potential scenarios. Using empirical methods, this work deduces that the transmission scheduling problem of an NCS can be solved by designing an appropriate transport protocol, taken into account high and periodic sampling rates. The transport protocol features are determined by simulation, using a new test platform based on the NS2 network simulation suite, to develop control/network codesign solutions. Conclusions of this paper are that the transport features are packet-loss-based flow control, best effort, and fairness, supplemented by a packet priority scheme.

scholarly journals A Cost-Effective Embedded Platform for Greenhouse Environment Control and Remote Monitoring

Agronomy ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. 936 ◽  
Author(s):  
Radu L. Sumalan ◽  
Nicoleta Stroia ◽  
Daniel Moga ◽  
Vlad Muresan ◽  
Alexandru Lodin ◽  
...  
Keyword(s):  
Remote Monitoring ◽  
Low Cost ◽  
Cost Effective ◽  
Agricultural System ◽  
Control Network ◽  
Monitoring And Control ◽  
Embedded Platform ◽  
Environment Control ◽  
Functional Features ◽  
And Control

This paper presents the development of a cost-effective automatic system for greenhouse environment control. The architectural and functional features were analyzed in the context of the realization of a controlled-environment agricultural system through all its stages: installation, deployment of the software, integration, maintenance, crop control strategy setup and daily operation of the grower. The proposed embedded platform provides remote monitoring and control of the greenhouse environment and is implemented as a distributed sensing and control network integrating wired and wireless nodes. All nodes were built with low-cost, low-power microcontrollers. The key issues that were addressed include the energy-efficient control, the robustness of the distributed control network to faults and a low-cost hardware implementation. The translation of the supervisory growth-planning information to the operational (control network) level is achieved through a specific architecture residing on a crop planning module (CPM) and an interfacing block (IB). A suite of software applications with flows and interfaces developed from a grower-centric perspective was designed and implemented on a multi-tier architecture. The operation of the platform was validated through implementation of sensing and control nodes, application of software for configuration and visualization, and deployment in typical greenhouses.

scholarly journals Evaluation of cerebral glioma using 3T diffusion kurtosis tensor imaging and the relationship between diffusion kurtosis metrics and tumor cellularity

2017 ◽  
Vol 45 (4) ◽  
pp. 1347-1358 ◽  
Author(s):  
Chong Qi ◽  
Song Yang ◽  
Lanxi Meng ◽  
Huiyuan Chen ◽  
Zhenlan Li ◽  
...  
Keyword(s):  
Mean Diffusivity ◽  
Area Under The Curve ◽  
Tumor Grade ◽  
Superior Performance ◽  
Cerebral Glioma ◽  
Operating Characteristics ◽  
Significant Difference ◽  
Characteristics Analysis ◽  
Sensitivity Specificity ◽  
Diffusion Kurtosis

Purpose To evaluate the clinical utility of diffusion kurtosis tensor imaging in the characterization of cerebral glioma and investigate correlations between diffusion and kurtosis metrics with tumor cellularity. Materials and Methods A group of 163 patients (age: 40.5 ± 11.5 years) diagnosed with cerebral glioma underwent diffusion kurtosis tensor imaging with a 3 T scanner. Diffusion and kurtosis metrics were measured in the solid part of tumors, and their abilities to distinguish between tumor grades was evaluated. In addition, we analyzed correlations between the metrics and tumor cellularity. Results Mean kurtosis (MK) revealed a significant difference between each pair of tumor grades ( P < 0.05) and produced the best performance in a receiver operating characteristics analysis (area under the curve [AUC] = 0.89, sensitivity/specificity = 83.3/90). In contrast, mean diffusivity (MD) revealed a significant difference only for tumor grade II versus IV ( P < 0.05). No significant differences between grades were detected with fractional anisotropy (FA; P > 0.05). Thus, kurtosis metrics exhibited a positive and strong correlation with tumor cellularity, while MD exhibited a negative or weak correlation with tumor cellularity. Conclusion Diffusion kurtosis metrics, particularly MK, demonstrated superior performance in distinguishing cerebral glioma of different grades compared with conventional diffusion metrics, and were closely associated with tumor cellularity.

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