Inside air ventilation ducts of the confined space such as subway stations become contaminated by various contaminants and particular matters after long time operation. The accumulated various pollutants at inner duct surface easily transport and cause secondary air contamination and injure subway passengers’ respiratory system and health. In fact, only periodic duct cleaning works can improve ...

Particulate surface contamination is one of the major causes of low yields in the semiconductor and other affected industries. The theory of low frequency (ultrasonic) and high frequency (megasonic) cleaning will be presented. Ultrasonic cleaning (less than 100 kHz) is relevant to cleaning of optics and precision parts. Megasonic cleaning (0.8 to 1.2 MHz) is used in semiconductor manufacturing....

Improving cleaning and disinfection performance must be taken into account for prevention and control of infection. Health care settings are engaged in a battle against healthcare associated infection (HAIs). The importance of infection prevention and control is increasing due to rapidly developing strains of multi-drug resistant organisms (MDROs) that can result in serious illness and even dea...

The authors have been involved in numerous street cleaning research projects for over 30 years. This paper will give us a unique opportunity to highlight the historical use of street cleaning as a method for reducing stormwater pollutants, and will examine newly emerging street cleaning technologies. There have been many misconceptions concerning this potential stormwater management control. Th...

This paper describes the design of household intelligent cleaning robot, which is an innovative work of collegiate contest. This paper describes the general structure of system, hardware circuit design and software program design. The robot can achieve autonomous movement, garbage cleaning, obstacle avoidance and other functions. It can work in the home, library, exhibition halls and other indo...

We classify data quality problems that are addressed by data cleaning and provide an overview of the main solution approaches. Data cleaning is especially required when integrating heterogeneous data sources and should be addressed together with schema-related data transformations. In data warehouses, data cleaning is a major part of the so-called ETL process. We also discuss current tool suppo...

Data Cleaning refers to the process of detecting and fixing errors in the data. Human involvement is instrumental at several stages of this process, e.g., to identify and repair errors, to validate computed repairs, etc. There is currently a plethora of data cleaning algorithms addressing a wide range of data errors (e.g., detecting duplicates, violations of integrity constraints, missing value...

Data cleaning with guaranteed reliability is hard to achieve without accessing external sources, since the truth is not necessarily discoverable from the data at hand. Furthermore, even in the presence of external sources, mainly knowledge bases and humans, effectively leveraging them still faces many challenges, such as aligning heterogeneous data sources and decomposing a complex task into si...

Microbial damages caused by biofilm forming bacteria in the dairy industry are a fundamental threat to safety and quality of dairy products. In order to ensure the optimal level of equipment hygiene in the dairy industry, it is necessary to determine the biofilm removal efficiency of cleaning agents used for cleaning-in-place (CIP) procedures. However, currently there is no standard method avai...