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Item type:Publication, Analysis of electric current by using MySQL database on web server for machine performance evaluation: A case study of air conditioning system(2020-10-13) ;Sriratana, Witsarut ;Khagwian, VittayaSatthamsakul, SuthamThis study developed a performance analyzing system for industrial machines by using an air conditioning system as a case study. Electricity consumption of the air conditioner compressor operating normally under controlled temperature in the room was gathered by applying the principle of quantitative data collection. Work efficiency of the system was analyzed by using the big data pattern. Due to sufficient information, it can further contribute to the application of AI (Artificial Intelligence) in analysis of the failures or causes of machine malfunctions. Data collecting system in this study was designed to analyze electric current and various parameters including power voltage, temperature and humidity, real power and power factor in order to recheck as well as increase the reliability of the system. All collected data were stored in the MySQL database on a web server and managed by phpMyAdmin that could allow users to access the information chronologically on daily, monthly, or yearly basis via a computer screen. The test results showed that the designed system was accurate with a small variation about 0.07 A or 1.78% compared to the standard digital ammeter. For power voltage, an average difference compared to the standard digital voltmeter was approximately 0.4 V or about 0.17%. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A mammography database and viewer system(2012-12-01) ;Suapang, Piyamas ;Thongyoun, Methinee ;Boontawan, RodjarinChivaprecha, SorawatA Mammography Database and Viewer System have collected and stored mammography images of Thai women, treated at the Radiology Department of Hospital in Rangsit, Pathumtani, Thailand, constructed a database using the digitized mammography images, and developed an image viewing system to display these digital mammograms. The images are stored with the high resolution Matrox Morphis (MOR/2VD/84*) frame grabber board. The digital mammography database is powered by MySQL and PHP. It also has a web-based search engine (with secure access) so that the information can be made accessible to all medical team members. The image viewing software, DICOM Viewer, is coded in Borland C++ Builder and is intended to help medical professionals view and retrieve large data sets in near real time. This have already digitized 200 cases (one case per patient, twenty to forty images per case). The system also have developed a MySQL-based image database, and a PHP-based web-search engine to retrieve cases that have masses (benign or malignant) or calcifications (benign or malignant). This database has been evaluated by medical professionals and the experimental results obtained so far are very promising (high image qualities, fast access time). The system are currently developing an image content-based retrieval function for the database system in order to provide improved search capability for the medical professionals. ©2012 IEEE.
