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| Content Provider | ACM Digital Library |
|---|---|
| Author | Sert, Ibrahim Unal Saritas, Ismail Etik, Nazmi Allahverdi, Novruz |
| Abstract | In this study, a controlled fuzzy expert system (FES) was designed to provide the conditions necessary for operating rooms. For this purpose, real operating rooms have been studied to see if there are more useful, reliable and comfortable ones. How a operating room can be controlled with FES and its advantages and disadvantages have also been researched. For a theoretically visible FES to show system's advantage a prototype operating room was built and a suitable configuration was designed. In this system, heat, particle, humidity and oxygen are used as input parameters, and fresh air entrance and the fan circulation are chosen as output parameters. With the help of an expert, appropriate language expressions and the membership function of these expressions were defined. The sensors were classified and sensor information was transferred to computer by means of an interface designed. To transfer the data to the system simultaneously, an interface was written in C#. Whether it provides the most suitable control for the system prototype was determined by simulating the operation with varying number of personnel and duration of time. In these trials, input, output and the other necessary parameters were saved in the computer. Consequently, in this study we obtained very good results in prototype operating room control with FES. The results of analyses carried out indicated that the controls performed with FES provide more economical, comfortable, reliable and consistent controls and that they are feasible in real operating rooms. |
| Starting Page | 1 |
| Ending Page | 8 |
| Page Count | 8 |
| File Format | |
| ISBN | 9789549641509 |
| DOI | 10.1145/1330598.1330625 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2007-06-14 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Fuzzy control systems Adaptive fuzzy control Operating room control |
| Content Type | Text |
| Resource Type | Article |
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