Joint Optimization of Maintenance Scheduling and Performance of Networked Systems

2021 ◽  
Author(s):  
Luohaoji Wang ◽  
Wenjin Zhu ◽  
Shubin Si
Keyword(s):  
Networked Systems ◽  
Maintenance Scheduling ◽  
Joint Optimization ◽  
And Performance

scholarly journals Rapid Composition for Networked Devices: HappyBrackets

2020 ◽  
Vol 43 (2-3) ◽  
pp. 89-108
Author(s):  
Angelo Fraietta ◽  
Oliver Bown ◽  
Sam Ferguson ◽  
Sam Gillespie ◽  
Liam Bray
Keyword(s):  
Digital Signal ◽  
General Purpose ◽  
Networked Systems ◽  
Programming Environment ◽  
Input Output ◽  
Development Environment ◽  
Integrated Development ◽  
And Performance ◽  
Creative Coding ◽  
Compiler Techniques

This article introduces an open-source Java-based programming environment for creative coding of agglomerative systems using Internet-of-Things (IoT) technologies. Our software originally focused on digital signal processing of audio—including synthesis, sampling, granular sample playback, and a suite of basic effects—but composers now use it to interface with sensors and peripherals through general-purpose input/output and external networked systems. This article examines and addresses the strategies required to integrate novel embedded musical interfaces and creative coding paradigms through an IoT infrastructure. These include: the use of advanced tooling features of a professional integrated development environment as a composition or performance interface rather than just as a compiler; techniques to create media works using features such as autodetection of sensors; seamless and serverless communication among devices on the network; and uploading, updating, and running of new compositions to the device without interruption. Furthermore, we examined the difficulties many novice programmers experience when learning to write code, and we developed strategies to address these difficulties without restricting the potential available in the coding environment. We also examined and developed methods to monitor and debug devices over the network, allowing artists and programmers to set and retrieve current variable values to or from these devices during the performance and composition stages. Finally, we describe three types of art work that demonstrate how the software, called HappyBrackets, is being used in live-coding and dance performances, in interactive sound installations, and as an advanced composition and performance tool for multimedia works.

A Degree-Based Decision-Centric Model for Complex Networked Systems

2016 ◽  
Author(s):  
Zhenghui Sha ◽  
Jitesh H. Panchal
Keyword(s):  
Percolation Theory ◽  
Utility Theory ◽  
Continuum Theory ◽  
Networked Systems ◽  
The Internet ◽  
Random Utility ◽  
Bottom Up ◽  
Random Utility Theory ◽  
Node Level ◽  
And Performance

The system-level structure and performance of complex networked systems (e.g., the Internet) are emergent outcomes resulting from the interactions among individual entities (e.g., the autonomous systems in the Internet). Thus, the systems evolve in a bottom-up manner. In our previous studies, we have proposed a framework towards laying complex systems engineering on decision-centric foundations. In this paper, we apply that framework on modeling and analyzing the structure and performance of complex networked systems through the integration of random utility theory, continuum theory and percolation theory. Specifically, we propose a degree-based decision-centric (DBDC) network model based on random utility theory. We analyze the degree distribution and robustness of networks generated by the DBDC model using continuum theory and percolation theory, respectively. The results show that by controlling node-level preferences, the model is capable of generating a variety of network topologies. Further, the robustness of networks is observed to be highly sensitive to the nodes’ preferences to degree. The proposed decision-centric approach has two advantages: 1) it provides a more general model for modeling networked systems by considering node-level preferences, and 2) the model can be extended by including non-structural attributes of nodes. With the proposed approach, systems that are evolved in a bottom-up manner can be modeled to verify hypothesized evolution mechanisms. This helps in understanding the underlying principles governing systems evolution, which is crucial to the development of design and engineering strategies for complex networked systems.

Relationship between Sociotechnical Joint Optimization and Perceived Department Performance in Manufacturing Organizations

1997 ◽  
Vol 41 (2) ◽  
pp. 772-776
Author(s):  
Delia Grenville ◽  
Brian M. Kleiner
Keyword(s):  
Organizational Design ◽  
Middle Management ◽  
Joint Optimization ◽  
Upper Management ◽  
Design Changes ◽  
Manufacturing Organizations ◽  
Time Allotment ◽  
And Performance ◽  
Systems Framework ◽  
The Impact

Over the last decade, organizational change has promoted flatter management structures. Organizations typically have less middle management through the integration of those tasks into upper management or lower management responsibilities. A sociotechnical systems framework was used to examine the impact of recent organizational design changes on managerial time allotment. Ninety-one transformation and downstream first-level managers participated in a research study examining time allotment to STS subsystems, level of joint optimization, value of time use, and performance in their departments. The study showed a significant relationship between the perceived level of joint optimization and perceived department performance.

AN M/G/1 RETRIAL QUEUE WITH UNRELIABLE SERVER FOR STREAMING MULTIMEDIA APPLICATIONS

2009 ◽  
Vol 23 (2) ◽  
pp. 281-304 ◽  
Author(s):  
Nathan P. Sherman ◽  
Jeffrey P. Kharoufeh ◽  
Mark A. Abramson
Keyword(s):  
Performance Measures ◽  
Queue Length ◽  
Retrial Queue ◽  
Multimedia Applications ◽  
Joint Optimization ◽  
Stochastic Decomposition ◽  
Stability Conditions ◽  
Repair Rate ◽  
Server Failure ◽  
And Performance

As a model for streaming multimedia applications, we study an unreliable retrial queue with infinite-capacity orbit and normal queue for which the retrial rate and the server repair rate are controllable. Customers join the retrial orbit if and only if their service is interrupted by a server failure. Interrupted customers do not rejoin the normal queue but repeatedly attempt to access the server at independent and identically distributed intervals until it is found functioning and idle. We provide stability conditions, queue length distributions, stochastic decomposition results, and performance measures. The joint optimization of the retrial and server repair rates is also studied.

Level of Joint Optimization

1998 ◽  
Vol 42 (13) ◽  
pp. 959-963
Author(s):  
N. Delia Grenville ◽  
Brian M. Kleiner
Keyword(s):  
Treatment Condition ◽  
Group Performance ◽  
Individual Performance ◽  
Joint Optimization ◽  
Quality Inspection ◽  
Effect Relationship ◽  
Time Allotment ◽  
And Performance ◽  
Experiment Individual ◽  
Optimization And Performance

The macroergonomic construct of joint optimization was operationally defined as time allotment to the personnel and technological subsystems in a laboratory quality inspection experiment. Individual and group performance as well as perceived level of joint optimization were measured for each treatment condition. The experiment was organized as a one-factor between subjects design with six levels: 30%, 40%, 50%, 60%, 70% and 80% allotted to the technological subsystem. While there were no significant differences in individual performance due to the amount of time allotted to tasks in the technical or social subsystems, differences did occur at the group performance level. Overall, the results of the study are encouraging and suggest there may be a cause and effect relationship between time allotment and level of joint optimization and performance in the technical subsystem.

scholarly journals Joint Optimization of Operational Cost and Performance Interference in Cloud Data Centers

2017 ◽  
Vol 5 (4) ◽  
pp. 697-711 ◽  
Author(s):  
Xibo Jin ◽  
Fa Zhang ◽  
Lin Wang ◽  
Songlin Hu ◽  
Biyu Zhou ◽  
...  
Keyword(s):  
Data Centers ◽  
Joint Optimization ◽  
Operational Cost ◽  
Cloud Data ◽  
Cloud Data Centers ◽  
And Performance

Transmission Scanning Electron Microscopy and Energy Analysis with the Siemens ELMISKOP 101

1972 ◽  
Vol 30 ◽  
pp. 450-451
Author(s):  
H. M. Thieringer
Keyword(s):  
Objective Lens ◽  
Transmission Microscopy ◽  
Image Recording ◽  
Mode Of Operation ◽  
Scanning Transmission ◽  
Electron Microscopes ◽  
And Performance ◽  
Convergent Beam ◽  
Ray Path ◽  
Beam Diffraction

It has repeatedly been show that with conventional electron microscopes very fine electron probes can be produced, therefore allowing various micro-techniques such as micro recording, X-ray microanalysis and convergent beam diffraction. In this paper the function and performance of an SIEMENS ELMISKOP 101 used as a scanning transmission microscope (STEM) is described. This mode of operation has some advantages over the conventional transmission microscopy (CTEM) especially for the observation of thick specimen, in spite of somewhat longer image recording times.Fig.1 shows schematically the ray path and the additional electronics of an ELMISKOP 101 working as a STEM. With a point-cathode, and using condensor I and the objective lens as a demagnifying system, an electron probe with a half-width ob about 25 Å and a typical current of 5.10-11 amp at 100 kV can be obtained in the back focal plane of the objective lens.

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