Plasma cleaning of solid surfaces is one of the hot topics of the very fast developing field of plasma treatment of materials. Plasma cleaning has been implemented already in several industries such as semiconductor processing and microchip fabrication, metallurgy, the optical industry, dentistry, medical technologies, food packaging – to name just the most important areas. Understanding the ba...

The Log-structured File System (LFS) transforms random writes to a huge sequential one to provide superior write performance on storage devices. However, LFS inherently suffers from overhead incurred by cleaning segments. Specifically, when file system utilization is high and the system is busy, write performance of LFS degenerates significantly due to high cleaning cost. Also, in the newer fla...

OBJECTIVE To determine the effectiveness of three different methods of ultrasound probe cleaning for the prevention of nosocomial infections. STUDY DESIGN Experimental study. PLACE AND DURATION OF STUDY Radiology Department, the Aga Khan University Hospital, Karachi and Microbiology Department, JPMC, Karachi, from December 2006 to April 2007. PATIENTS AND METHODS A total of 75 culture swa...

In order to reduce extra capital and energy cost caused by fouling and ageing, this paper presents a new methodology for synthesizing heat exchanger network (HEN) with the cleaning schedule optimized. Two cleaning methods with different cleaning efficiency are used to remove fouling and ageing, so the cleaning mode has to be selected along with an optimal cleaning schedule. The process is imple...

There is no magic solution for data cleaning. The user has always to specify the cleaning operations to perform. A huge number of operations may have to be specified. Yet, this is the condition to detect and correct the data quality problems successfully. Most of the cleaning operations are generic enough to be applied to different databases. These operations may be limited to databases of the ...

Data cleaning is the process of correcting anomalies in a data source, that may for instance be due to typographical errors, or duplicate representations of an entity. It is a crucial task in customer relationship management, data mining, and data integration. With the growing amount of XML data, approaches to effectively and efficiently clean XML are needed, an issue not addressed by existing ...

This paper introduces the concept and principle of data cleaning, analyzes the types and causes of dirty data, and proposes several key steps of typical cleaning process, puts forward a well scalability and versatility data cleaning framework, in view of data with attribute dependency relation, designs several of violation data discovery algorithms by formal formula, which can obtain inconsiste...