Systemic Model for Examination of Countrywide School Computerization

2005 ◽  
Vol 33 (4) ◽  
pp. 321-353 ◽  
Author(s):  
Egoza Wasserman ◽  
Yitzchak Millgram
Keyword(s):  
Educational System ◽  
Mutual Influence ◽  
Control Model ◽  
Systemic Control ◽  
Control Models ◽  
Depth Control ◽  
Assimilation Process ◽  
And Control ◽  
State Of Israel ◽  
Time Continuum

This article presents a study whose purpose was to examine how the educational system functions following the assimilation of a technological environment and how the relationships between the subsystems are affected and affect each other following this change. The study took place over the course of three years in schools in the State of Israel using questionnaires, observations, case description, and focus groups. This study used the Systemic Control Model (SCM), which provides a system of feedback and control. Through application of the model significant data is received informing one about the progression of the change process while the execution of the stages and various processes are being carried out. The process of introducing the computer as an educational tool into the educational system necessitated the application of two control models: the in-depth control model and the time continuum control model. The in-depth control model examined the various factors that participated in the process and their mutual influence, and the time continuum model received feedback at various points in time. The major conclusion of the study is that the combined activation of both control models is a condition for the success of the assimilation process of any education system change.

scholarly journals Protection and Response of a Tertiary Hospital in Shenzhen, China to the COVID-19 Outbreak—the Practice of the Comprehensive Response Mode

2021 ◽  
pp. 1-17
Author(s):  
Benling Hu ◽  
Le Yang ◽  
Chan Wei ◽  
Min Luo
Keyword(s):  
Prevention And Control ◽  
Tertiary Hospital ◽  
Control Model ◽  
Normal Operation ◽  
Process Reengineering ◽  
Equipment Management ◽  
Hospital Acquired Infection ◽  
Public Health Emergencies ◽  
Hospital Acquired ◽  
And Control

ABSTRACT Objective: To evaluate the management mode for the prevention and control of coronavirus 2019 (COVID-19) transmission utilized at a general hospital in Shenzhen, China, with the aim to maintain the normal operation of the hospital. Methods: From January 2, 2020 to April 23, 2020, Hong Kong–Shenzhen Hospital, a tertiary hospital in Shenzhen, has operated a special response protocol named comprehensive pandemic prevention and control model, which mainly includes six aspects: 1) human resource management; 2) equipment management; 3) logistics management; 4) cleaning, disinfection and process reengineering; 5) environment layout; 6) and training and assessment. The detail of every aspect was described and its efficiency was evaluated. Results: A total of 198,802 patients were received. Of those, 10,821 were hospitalized; 26,767 were received by the emergency department and fever clinics; 288 patients were admitted for observation with fever; and 324 were admitted as suspected cases for isolation. Under the protocol of comprehensive pandemic prevention and control model, no case of hospital-acquired infection with COVID-19 occurred among the inpatients or staff. Conclusion: The present comprehensive response model may be useful in large public health emergencies to ensure appropriate management and protect the health and life of individuals.

Power Reserve Classification and Control for Peaking Balance with Intermittent Generation Grid

2014 ◽  
Vol 521 ◽  
pp. 252-255
Author(s):  
Jian Yuan Xu ◽  
Jia Jue Li ◽  
Jie Jun Zhang ◽  
Yu Zhu
Keyword(s):  
Real Time ◽  
Balance Control ◽  
Control Model ◽  
Intermediate Variable ◽  
Proposed Model ◽  
Grid Operators ◽  
Period Constant ◽  
Grid Operation ◽  
And Control ◽  
Time Reserve

The problem of intermittent generation peaking is highly concerned by the grid operator. To build control model for solving unbalance of peaking is great necessary. In this paper, we propose reserve classification control model which contain constant reserve control model with real-time reserve control model to guide the peaking balance of the grid with intermittent generation. The proposed model associate time-period constant reserve control model with real-time reserve control model to calculate, and use the peaking margin as intermediate variable. Therefore, the model solutions which are the capacity of reserve classification are obtained. The grid operators use the solution to achieve the peaking balance control. The proposed model was examined by real grid operation case, and the results of the case demonstrate the validity of the proposed model.

Real Time Energy Monitoring and Control Model for Peer-to-Peer Integrated Hybrid Supply System

2021 ◽  
Author(s):  
Kufre Esenowo Jack ◽  
Nsikak John Affia ◽  
Uchenna Godswill Onu ◽  
Emmanuel Okekenwa ◽  
Ernest Ozoemela Ezugwu ◽  
...  
Keyword(s):  
Real Time ◽  
Control Model ◽  
Peer To Peer ◽  
Supply System ◽  
Monitoring And Control ◽  
Energy Monitoring ◽  
And Control

Supporting Co-Design of Physical and Control Architectures of Mechatronic Systems

2011 ◽  
Author(s):  
Andre´s A. Alvarez Cabrera ◽  
Hitoshi Komoto ◽  
Tetsuo Tomiyama
Keyword(s):  
Control Structure ◽  
Mutual Influence ◽  
Early Stage ◽  
Physical Structure ◽  
Mechatronic Systems ◽  
Design Problems ◽  
Software And Hardware ◽  
Design Integration ◽  
And Control ◽  
Recent Tendency

There is a rather recent tendency to define the physical structure and the control structure of a system concurrently when designing the architecture of a product, i.e., to perform codesign. We argue that co-design can only be enabled when the mutual influence between physical system and control is made evident to the designer at an early stage. Though the idea of design integration is not new, to the best of our knowledge, there is no computer tooling that explicitly supports this activity by enabling co-design as stated before. In this paper the authors propose a method for co-design of physical and control architectures as a better approach to design mechatronic systems, allowing to exploit the synergy between software and hardware and detecting certain design problems at an early stage of design. The proposed approach is supported by a set of tools and demonstrated through an example case.

Terrorism control model and control policy

2004 ◽  
Vol 7 (2) ◽  
pp. 153-164
Author(s):  
Md. Asim Uddin Khan
Keyword(s):  
Control Policy ◽  
Control Model ◽  
And Control

scholarly journals An Integrated Hydrodynamics and Control Model of A Tethered Underwater Robot

2018 ◽  
Vol 32 (5) ◽  
pp. 557-569 ◽  
Author(s):  
Jia-ming Wu ◽  
Ying Xu ◽  
Long-bin Tao ◽  
Miao Yu ◽  
Yi-zhe Dou
Keyword(s):  
Control Model ◽  
Underwater Robot ◽  
And Control

scholarly journals A Systematic Review of Greenhouse Humidity Prediction and Control Models Using Fuzzy Inference Systems

2022 ◽  
Vol 2022 ◽  
pp. 1-16
Author(s):  
Sebastian-Camilo Vanegas-Ayala ◽  
Julio Barón-Velandia ◽  
Daniel-David Leal-Lara
Keyword(s):  
Predictive Control ◽  
Fuzzy Inference ◽  
Fuzzy Inference Systems ◽  
Clustering Techniques ◽  
Control Models ◽  
Environment Variables ◽  
Prediction And Control ◽  
Inference Systems ◽  
And Control ◽  
High Degree

Cultivating in greenhouses constitutes a fundamental tool for the development of high-quality crops with a high degree of profitability. Prediction and control models guarantee the correct management of environment variables, for which fuzzy inference systems have been successfully implemented. The purpose of this review is determining the various relationships in fuzzy inference systems currently used for the modelling, prediction, and control of humidity in greenhouses and how they have changed over time to be able to develop more robust and easier to understand models. The methodology follows the PRISMA work guide. A total of 93 investigations in 4 academic databases were reviewed; their bibliometric aspects, which contribute to the objective of the investigation, were extracted and analysed. It was finally concluded that the development of models based in Mamdani fuzzy inference systems, integrated with optimization and fuzzy clustering techniques, and following strategies such as model-based predictive control guarantee high levels of precision and interpretability.

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