System Performance Assessment and Control Concept.

1977 ◽  
Author(s):  
Robert L. Feik
Keyword(s):  
Performance Assessment ◽  
System Performance ◽  
Control Concept ◽  
And Control

scholarly journals ДОСЯГНЕННЯ ЕФЕКТИВНОГО РОЗПОДІЛЕНОГО ПЛАНУВАННЯ ЗА ДОПОМОГОЮ ЧЕРГ ПОВІДОМЛЕНЬ У ХМАРІ ДЛЯ БАГАТОЗАДАЧНИХ ОБЧИСЛЕНЬ ТА ВИСОКОПРОДУКТИВНИХ ОБЧИСЛЕНЬ

2020 ◽  
Author(s):  
Старовойтенко Олексій Володимирович
Keyword(s):  
Distributed Systems ◽  
System Performance ◽  
State Of The Art ◽  
Computation Time ◽  
Cloud Services ◽  
Distributed Scheduling ◽  
Message Processing ◽  
Computational Problem ◽  
Control Units ◽  
And Control

Due to the growth of data and the number of computational tasks, it is necessary to ensure the required level of system performance. Performance can be achieved by scaling the system horizontally / vertically, but even increasing the amount of computing resources does not solve all the problems. For example, a complex computational problem should be decomposed into smaller subtasks, the computation time of which is much shorter. However, the number of such tasks may be constantly increasing, due to which the processing on the services is delayed or even certain messages will not be processed. In many cases, message processing should be coordinated, for example, message A should be processed only after messages B and C. Given the problems of processing a large number of subtasks, we aim in this work - to design a mechanism for effective distributed scheduling through message queues. As services we will choose cloud services Amazon Webservices such as Amazon EC2, SQS and DynamoDB. Our FlexQueue solution can compete with state-of-the-art systems such as Sparrow and MATRIX. Distributed systems are quite complex and require complex algorithms and control units, so the solution of this problem requires detailed research.

scholarly journals Perancangan Decision Support System Penilaian Kinerja Dosen Berdasarkan Penilaian Prestasi Kerja Pegawai dan Beban Kinerja Dosen

MATICS ◽  
2016 ◽  
Vol 8 (2) ◽  
pp. 48
Author(s):  
Rizal Furqan Ramadhan ◽  
Herman Tolle ◽  
Muhammad Aziz Muslim
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Performance Assessment ◽  
Support System ◽  
System Performance ◽  
Normal Medium ◽  
Higher Education System ◽  
Final Output ◽  
University Lecturers ◽  
Education Concept

<span>The lecturer is one of the essential<br />components in the Higher Education system. Performance<br />assessment of lecturer needs to be conducted to measure<br />the lecturer capability based on the Tri Darma’s Higher<br />Education concept. Related to the nowadays technology<br />development, to conduct performance assessment of<br />lecturer can use the Decision Support System based on<br />several criteria as the assessment material. The provided<br />criteria in this paper seem to be the obtained criteria from<br />P2KP and BKD component. P2KP is performance<br />assessment of lecturer under the Badan Kepegawaian<br />Negara (BKN) supervision. Meanwhile BKD is<br />performance assessment of lecturer under the DIKTI<br />supervision. The lecturer criteria are taken from those two<br />components because the lecturers’ status cannot be<br />separated from the officer under BKN and educator under<br />the DIKTI support. It is expected that the criteria coming<br />from both components integration will be able to produce<br />performance assessment of lecturer objectively. The<br />method to proceed the assessment was Weighted Product<br />(WP). The examined data of the lecturers were the<br />Brawijaya University lecturers’ data. The final<br />examination data was conducted by taking the data<br />randomly from 20 Brawijaya University lecturers. The<br />final output from this Decision Support System is the<br />lecturers which are selected from three categories, which<br />are, less, normal, and good. It is expected that Decision<br />Support System is able to categorize the standard eligible<br />lecturer (Normal/medium category), and the lecturer<br />surpassing the standard (good category).<br /></span>

A Rapid Recursive Experimental Approach to Structure/Control Re-Design

1995 ◽  
Author(s):  
Anton Pil ◽  
Haruhiko Asada
Keyword(s):  
System Performance ◽  
Recursive Algorithm ◽  
Descent Method ◽  
Gradient Descent Method ◽  
Control Parameters ◽  
Multiple Control ◽  
Mechatronic Systems ◽  
Loop Control ◽  
Structural Reinforcement ◽  
And Control

Abstract This paper introduces an experimental recursive method for simultaneously changing both the mechanical structure and control design of mechatronic systems in order to improve the system’s overall performance. The method improves a system’s closed-loop control specifications through recursive concurrent structure reinforcement and control gain optimization. By using a process of structural reinforcement, a single prototype structure can be used repeatedly until the system performance goals are achieved. To determine the optimal incremental structure changes, a recursive algorithm based on a gradient descent method and a parameter estimation theory is employed. After the incremental structure reinforcements are applied, the control parameters are optimized with respect to multiple control specifications. Next, the resulting system incorporating the structure and control changes is tested and compared with the desired level of performance. The entire process consisting of experimental evaluation, data analysis, and structure reinforcement is repeated until the system performance achieves the desired level. Simulation experiments are successful in changing both the structural and control parameters of a simplified positioning system and show improvement in the system’s overall settling time.

Electronic surveillance system for COVID-19 virus management in Palestine- an observational study

2021 ◽  
Vol 12 (4) ◽  
pp. 0-0
Keyword(s):  
System Performance ◽  
Surveillance System ◽  
Prevention And Control ◽  
Willingness To Participate ◽  
Electronic Surveillance ◽  
Effective Prevention ◽  
Health Facility Level ◽  
Facility Level ◽  
And Control ◽  
Virus Management

This research investigated the performance of the electronic surveillance system of COVID 19 and assessed its key attributes. The research results for the overall system performance were good (82.81%). The highest attribute score was 100% for representativeness and data completeness and the lowest score was 75.30% for acceptability. The COVID-19 surveillance system is generally simple and accepted by users, although the instability of electricity and the Internet, the benefit from the training on the system, and the lack of willingness to participate in the system at the health facility level had the greatest impact on simplicity and acceptability scores. The quality and completeness of the data enabled stakeholders to carry out the most effective prevention and control activities. System developers indicated that the system has achieved the desired benefit, due to the flexibility and stability of the system and comprehensiveness of geographical coverage.

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