Cluster Control Management as Cluster Middleware

2012 ◽  
pp. 73-82
Author(s):  
Rajermani Thinakaran ◽  
Elankovan Sundararajan
Keyword(s):  
Control Management

scholarly journals Position Tracking Techniques Using Multiple Receivers for Anti-Drone Systems

Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 35
Author(s):  
Jae-Min Shin ◽  
Yu-Sin Kim ◽  
Tae-Won Ban ◽  
Suna Choi ◽  
Kyu-Min Kang ◽  
...  
Keyword(s):  
Traffic Control ◽  
Tracking System ◽  
Estimation Method ◽  
Signal Strength ◽  
Low Energy ◽  
Position Tracking ◽  
Memory Process ◽  
Multiple Receivers ◽  
Received Signal Strength Indication ◽  
Control Management

The need for drone traffic control management has emerged as the demand for drones increased. Particularly, in order to control unauthorized drones, the systems to detect and track drones have to be developed. In this paper, we propose the drone position tracking system using multiple Bluetooth low energy (BLE) receivers. The proposed system first estimates the target’s location, which consists of the distance and angle, while using the received signal strength indication (RSSI) signals at four BLE receivers and gradually tracks the target based on the estimated distance and angle. We propose two tracking algorithms, depending on the estimation method and also apply the memory process, improving the tracking performance by using stored previous movement information. We evaluate the proposed system’s performance in terms of the average number of movements that are required to track and the tracking success rate.

scholarly journals Research on Deep Belief Network of Wind Power Control Management Unit Based on Attack Identification

2020 ◽  
Vol 1646 ◽  
pp. 012120
Author(s):  
Wei Liu ◽  
Zhiwei Huang ◽  
Rui Chen ◽  
Kai Ding ◽  
Xiaofan Zhu ◽  
...  
Keyword(s):  
Power Control ◽  
Wind Power ◽  
Deep Belief Network ◽  
Management Unit ◽  
Belief Network ◽  
Control Management

A revised FMEA application to the quality control management

2014 ◽  
Vol 31 (7) ◽  
pp. 788-810 ◽  
Author(s):  
Claudia Paciarotti ◽  
Giovanni Mazzuto ◽  
Davide D’Ettorre
Keyword(s):  
Quality Control ◽  
Failure Modes ◽  
Cost Effective ◽  
Weight Functions ◽  
Time Saving ◽  
Content Type ◽  
Complete Procedure ◽  
Medium Enterprise ◽  
Control Management ◽  
Critical Situations

Purpose – The purpose of this paper is to propose a cost-effective, time-saving and easy-to-use failure modes and effects analysis (FMEA) system applied on the quality control of supplied products. The traditional FMEA has been modified and adapted to fit the quality control features and requirements. The paper introduces a new and revised FMEA approach, where the “failure concept” has been modified with “defect concept.” Design/methodology/approach – The typical FMEA parameters have been modified, and a non-linear scale has been introduced to better evaluate the FMEA parameters. In addition, two weight functions have been introduced in the risk priority number (RPN) calculus in order to consider different critical situations previously ignored and the RPN is assigned to several similar products in order to reduce the problem of complexity. Findings – A complete procedure is provided in order to assist managers in deciding on the critical suppliers, the creation of homogeneous families overcome the complexity of single product code approach, in RPN definition the relative importance of factors is evaluated. Originality/value – This different approach facilitates the quality control managers acting as a structured and “friendly” decision support system: the quality control manager can easily evaluate the critical situations and simulate different scenarios of corrective actions in order to choose the best one. This FMEA technique is a dynamic tool and the performed process is an iterative one. The method has been applied in a small medium enterprise producing hydro massage bathtub, shower, spas and that commercializes bathroom furniture. The firm application has been carried out involving a cross-functional and multidisciplinary team.

scholarly journals Development and application of an internet of things door lock Network Bridge for classroom access control management

2021 ◽  
Vol 1113 (1) ◽  
pp. 012022
Author(s):  
Cheng Hsiu Li ◽  
Chi Yu Chen ◽  
Xuan Rui Huang ◽  
Ting Fu Tsai ◽  
Bo Yang Liu
Keyword(s):  
Internet Of Things ◽  
Access Control ◽  
Door Lock ◽  
Access Control Management ◽  
Control Management

scholarly journals Computational Fluid Dynamics Modelling of the Microclimate within the Boundary Layer of Leaves Leading to Improved Pest Control Management and Low-Input Greenhouse

2021 ◽  
Vol 13 (15) ◽  
pp. 8310
Author(s):  
Hicham Fatnassi ◽  
Thierry Boulard ◽  
Christine Poncet ◽  
Nikolaos Katsoulas ◽  
Thomas Bartzanas ◽  
...  
Keyword(s):  
Boundary Layer ◽  
Pest Control ◽  
Fluid Dynamic ◽  
Natural Habitat ◽  
Greenhouse Production ◽  
Greenhouse Crops ◽  
Leaf Surfaces ◽  
Measurement Tools ◽  
Use Efficiency ◽  
Control Management

This work aims at using the Computational Fluid Dynamic (CFD) approach to study the distributed microclimate in the leaf boundary layer of greenhouse crops. Understanding the interactions in this microclimate of this natural habitat of plant pests (i.e., boundary layer of leaves), is a prerequisite for their control through targeted climate management for sustainable greenhouse production. The temperature and humidity simulations, inside the greenhouse, were performed using CFD code which has been adapted to simulate the plant activity within each mesh in the crop canopy. The air temperature and air humidity profiles within the boundary layer of leaves were deduced from the local surrounding climate parameters, based on an analytical approach, encapsulated in a Used Defined Function (UDF), and dynamically linked to the CFD solver, a work that forms an innovative and original task. Thus, this model represents a new approach to investigate the microclimate in the boundary layer of leaves under greenhouses, which resolves the issue of the inaccessibility of this area by the conventionnel measurement tools. The findings clearly showed that (i) contrarily to what might be expected, the microclimate parameters within the boundary layer of leaves are different from the surrounding climate in the greenhouse. This is particularly visible during photoperiods when the plant’s transpiration activity is at its maximum and that (ii) the climatic parameters in the leaf boundary layer are more coupled with leaf surfaces than with those of greenhouse air. These results can help developing localized intervention strategies on the microclimate within boundary layer of plant leaves, leading to improved and sustainable pest control management. The developed climatic strategies will make it possible to optimize resources use efficiency.

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