Developmental leadership: How Chinese leaders integrate control and care to cultivate subordinates

2017 ◽  
Vol 2017 (1) ◽  
pp. 11731
Author(s):  
An-Chih Wang
Keyword(s):  
Integrate Control

Operators' Monitoring Patterns and Fault Recovery in the Supervisory Control of a Semi-Automatic Process

1992 ◽  
Vol 36 (15) ◽  
pp. 1143-1147
Author(s):  
John D. Lee ◽  
Neville Moray
Keyword(s):  
Individual Differences ◽  
Supervisory Control ◽  
Critical Role ◽  
Normal Operation ◽  
Large Individual ◽  
Automatic Process ◽  
Successful Implementation ◽  
Control Actions ◽  
Integrate Control ◽  
And Control

Although technological innovations have changed the role of operators from active participants to supervisors of semiautomatic processes, an understanding of the cognitive demands of supervisory control has not kept pace. In particular, little is known about when, and how well, operators might intervene and switch control from automatic to manual. This research addresses this issue by monitoring the information use and control actions of operators of a simulated semiautomatic pasteurization plant. The results of this experiment shows that individual differences in operators” monitoring patterns during the normal operation of the plant correspond to differences in their ability to mitigate the effects of faults. Specifically, an operator who controls the plant well during both normal and fault conditions tends to observe the plant frequently, integrating control actions with other control actions, and does not fixate on narrow sub-systems of the plant. On the other hand, an operator who performs poorly when exposed to faults tends to observe the plant less often, fails to integrate control actions, and fixates attention on a narrow subset of plant variables. Although all operators interacted with the plant using the same interface and automation, large individual differences in the operators” monitoring patterns, and the associated differences in performance suggest that individuals” attitudes, motivation, and training may play a critical role in the successful implementation of automation.

scholarly journals Five promoters integrate control of the cob/pdu regulon in Salmonella typhimurium.

1995 ◽  
Vol 177 (19) ◽  
pp. 5401-5410 ◽  
Author(s):  
P Chen ◽  
M Ailion ◽  
T Bobik ◽  
G Stormo ◽  
J Roth
Keyword(s):  
Salmonella Typhimurium ◽  
Integrate Control

Planning and Control Processes Across the Life Span: An Overview

1993 ◽  
Vol 16 (2) ◽  
pp. 131-143 ◽  
Author(s):  
Margie E. Lachman ◽  
Orah R. Burack
Keyword(s):  
Life Span ◽  
Well Being ◽  
Special Issue ◽  
Control Processes ◽  
Planning And Control ◽  
Integrate Control ◽  
The Individual ◽  
And Control ◽  
Future Work

We present a brief overview of the areas of planning and control to provide a context for the individual papers in this special issue. For both topics we consider development across the life span, subgroup variations (e.g. by gender), and correlates (e.g. well-being). We then explore potential linkages between planning and control. Our attempt to integrate control and planning is meant to stimulate future work which considers these processes together from a life span perspective.

scholarly journals General and Gambling-Specific Types of Control: Extending Mental Health Theory and Concepts to Problem Gambling

2021 ◽  
Vol 2 (1) ◽  
pp. 29-38
Author(s):  
Sasha Stark
Keyword(s):  
Mental Health ◽  
Problem Gambling ◽  
Process Model ◽  
Gambling Problems ◽  
Integrate Control ◽  
Key Factor ◽  
Efficacy Research ◽  
Control Work ◽  
Future Work ◽  
Health Theory

Rationale: A key factor in our understanding of problem gambling is control: over gambling outcomes (illusion of control) and behaviours (gambling self-efficacy). Research in the gambling field rarely looks beyond these gambling-specific types of control to more general types when identifying predictors of gambling problems. This work begins to integrate control concepts from the mental health and problem gambling fields by examining the importance of a more general type of control from the Stress Process Model: sense of control over life events. Methods: Closed-ended questionnaire and open-ended interview responses from 30 frequent (weekly or more) gamblers were used to examine whether general and gambling-specific types of control are linked as predicted in a conceptual model of control. Results: For some people, beliefs about one type of control are extended to inform beliefs about another type of control. In many cases, understandings of outcomes in life inform beliefs about controlling gambling outcomes and behaviours. Conclusions: Different types of control work together, and general understandings can translate into gambling-specific beliefs. Future work is needed to confirm and specify these relationships and clarify their importance to understanding the development of gambling problems.

The role of feedforward control in motor planning

2001 ◽  
Vol 24 (5) ◽  
pp. 896-897 ◽  
Author(s):  
Marta Olivetti Belardinelli ◽  
Demis Basso
Keyword(s):  
Dynamical Systems ◽  
Human Performance ◽  
Feedforward Control ◽  
Motor Planning ◽  
Action Planning ◽  
Control Processes ◽  
Integrate Control ◽  
Systems Models ◽  
Theory Of Event Coding

In dynamical systems models feedforward is needed to guide planning and to process unknown and unpredictable events. Feedforward could help Theory of Event Coding (TEC) integrate control processes and could model human performance in action planning in a more flexible and powerful way.

scholarly journals Sistem Penyeleksi Warna Dan Berat Barang Menggunakan Pergerakan Lengan Robot Empat DOF (Degree Of Freedom)

2017 ◽  
Vol 1 (1) ◽  
pp. 59
Author(s):  
Abdullah Abdullah
Keyword(s):  
Control System ◽  
Load Cell ◽  
Degree Of Freedom ◽  
Robot Arm ◽  
Sensor Reading ◽  
Integrate Control ◽  
Weight Sensor

The use of robot arm in the system of colour and weight box selection has been done to integrate control system of robot arm moving with colour sensor TCS3200 and weight sensor load cell. The research was conducted by analyzing efficiency and accuracy system of robot arm moving to select colour and weight goods like box. The robot arm moving work suitable instruction of colour and weight sensor reading. At the most important from this system is how to accuracy of colour and weight sensor to detect colour ang weight and accuracy of robot arm moving system can positioning degree moving to take colour with different weight box suitable the place. The result of the analysis proved that robot arm moving had inregrated with colour and weight sensor efficient and effective to do this work as colour and weight box selection accurately.

scholarly journals Hardware Methods for Onboard Control of Fluidically Actuated Soft Robots

2021 ◽  
Vol 8 ◽  
Author(s):  
Kevin McDonald ◽  
Tommaso Ranzani
Keyword(s):  
Degrees Of Freedom ◽  
Review Paper ◽  
State Of The Art ◽  
Human Interaction ◽  
Power Delivery ◽  
Soft Robots ◽  
Integrate Control ◽  
Working Together ◽  
Multiple Actuators ◽  
Reaction Speed

Soft robots provide significant advantages over their rigid counterparts. These compliant, dexterous devices can navigate delicate environments with ease without damage to themselves or their surroundings. With many degrees of freedom, a single soft robotic actuator can achieve configurations that would be very challenging to obtain when using a rigid linkage. Because of these qualities, soft robots are well suited for human interaction. While there are many types of soft robot actuation, the most common type is fluidic actuation, where a pressurized fluid is used to inflate the device, causing bending or some other deformation. This affords advantages with regards to size, ease of manufacturing, and power delivery, but can pose issues when it comes to controlling the robot. Any device capable of complex tasks such as navigation requires multiple actuators working together. Traditionally, these have each required their own mechanism outside of the robot to control the pressure within. Beyond the limitations on autonomy that such a benchtop controller induces, the tether of tubing connecting the robot to its controller can increase stiffness, reduce reaction speed, and hinder miniaturization. Recently, a variety of techniques have been used to integrate control hardware into soft fluidic robots. These methods are varied and draw from disciplines including microfluidics, digital logic, and material science. In this review paper, we discuss the state of the art of onboard control hardware for soft fluidic robots with an emphasis on novel valve designs, including an overview of the prevailing techniques, how they differ, and how they compare to each other. We also define metrics to guide our comparison and discussion. Since the uses for soft robots can be so varied, the control system for one robot may very likely be inappropriate for use in another. We therefore wish to give an appreciation for the breadth of options available to soft roboticists today.

scholarly journals Modeling of Flexible Bodies for the Study of Control in the Simulink Environment

2020 ◽  
Vol 10 (17) ◽  
pp. 5861
Author(s):  
Laura Salamina ◽  
Daniele Botto ◽  
Stefano Mauro ◽  
Stefano Pastorelli
Keyword(s):  
Optimal Solution ◽  
Rigid Bodies ◽  
Machining Process ◽  
Fe Model ◽  
Matlab Simulation ◽  
Mechatronic Systems ◽  
Simulation Code ◽  
Flexible Bodies ◽  
Stiffness Matrices ◽  
Integrate Control

When studying complex mechatronic systems, it is useful to build models able to simulate both the dynamics of the phenomenon and the control system applied. Typically, the bodies involved are modeled as rigid bodies. In this work, a technique for modeling flexible bodies in Simulink environment is presented. Simulink is a powerful instrument where it is quite easy to integrate control algorithms with complex systems. The solution developed is presented and applied to a machining center. Modern machining centers ensure a level of accuracy that traditional manual machines cannot reach. Simulations of the working process considering vibrations are needed to obtain high precision machining. These simulations aim to determine the error in the position of the tool and to help designers in finding the optimal solution in terms of machining velocity and precision. This work is focused on the carriage of a machine tool moving along horizontal guides, typically named Z-axis. The axis is actuated and borne by a linear motor; therefore, movable constraints must be modeled. A finite-element (FE) model of the carriage was reduced with a Craig-Bampton reduction to provide the mass and stiffness matrices for an in-house Matlab simulation code. The rigid constraints of the carriage were implemented in the model as moving stiffnesses, and their value was set to obtain continuity of the constraints in the discrete model. In the end, a map of different vibrational configurations is proposed to visualize the possible errors that a machining process can generate.

scholarly journals High Tobacco Use among Presumptive Tuberculosis Patients, South India: Time to Integrate Control of Two Epidemics

2016 ◽  
Vol 7 (4) ◽  
pp. 228-232 ◽  
Author(s):  
Kunal Pradip Kanakia ◽  
Marie Gilbert Majella ◽  
Pruthu Thekkur ◽  
Gomathi Ramaswamy ◽  
Divya Nair ◽  
...  
Keyword(s):  
Tobacco Use ◽  
South India ◽  
Tuberculosis Patients ◽  
Integrate Control
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