Conferences related to Cleaning

Back to Top

2013 36th International Spring Seminar on Electronics Technology (ISSE)

This international conference focusses on exchange of information between senior and young scientists from academic communities and electronic industries. Since 1977 the conference has been hosted by different Eureopean universities.

  • 2012 35th International Spring Seminar on Electronics Technology (ISSE)

    The International Spring Seminar on Electronics Technology is the premier European forum for the exchange of information between senior and young scientists from academic communities and electronic industries from around the world on topics related to their experimental and theoretical work in the very widespread field of electronics and microelectronics technology and packaging.

  • 2011 34th International Spring Seminar on Electronics Technology (ISSE)

    The International Spring Seminar on Electronics Technology is the premier European forum for the exchange of information between senior and young scientists from academic communities and electronic industries from around the world on topics related to their experimental and theoretical work in the very widespread field of electronics and microelectronics technology and packaging.

  • 2010 33rd International Spring Seminar on Electronics Technology (ISSE)

    The International Spring Seminar on Electronics Technology is the premier European forum for the exchange of information between senior and young scientists from academic communities and electronic industries from around the world on topics related to their experimental and theoretical work in the very wide-spread field of electronics and microelectronics technology and packaging.

  • 2009 32nd International Spring Seminar on Electronics Technology (ISSE)

    The International Spring Seminar on Electronics Technology is the premier European forum for the exchange of information between senior and young scientists from academic communities and electronic industries from around the world on topics related to their experimental and theoretical work in the very wide -spread field of electronics and microelectronics technology and packaging. Based on a unique combination of oral and poster presentations as well as individual meetings, professors and students, senio


2012 23rd Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC)

ASMC provides an unparalleled platform for semiconductor professionals to network and learn the latest in the practical application of advanced manufacturing strategies and methodologies. Solving the challenges presented by semiconductor manufacturing has been a combined effort by device makers, equipment and materials suppliers and academics.



Periodicals related to Cleaning

Back to Top

Plasma Science, IEEE Transactions on

Plasma science and engineering, including: magnetofluid dynamics and thermionics; plasma dynamics; gaseous electronics and arc technology; controlled thermonuclear fusion; electron, ion, and plasma sources; space plasmas; high-current relativistic electron beams; laser-plasma interactions; diagnostics; plasma chemistry and colloidal and solid-state plasmas.


Semiconductor Manufacturing, IEEE Transactions on

Addresses innovations of interest to the integrated circuit manufacturing researcher and professional. Includes advanced process control, equipment modeling and control, yield analysis and optimization, defect control, and manufacturability improvement. It also addresses factory modelling and simulation, production planning and scheduling, as well as environmental issues in semiconductor manufacturing.



Most published Xplore authors for Cleaning

Back to Top

Xplore Articles related to Cleaning

Back to Top

The collimation system of the SNS transfer lines

N. Catalan-Lasheras; D. Raparia PACS2001. Proceedings of the 2001 Particle Accelerator Conference (Cat. No.01CH37268), 2001

The High Energy Beam Transport (HEBT) and Ring to Target Beam Transport (RTBT) lines of the Spallation Neutron Source (SNS) include collimation systems that protect the line itself, as well as the systems downstream. Due to the one- pass mechanism in a transfer line, collimation can only provide protection against accidental losses while shaping the beam is reserved for multi-pass ...


Position control of a pneumatic rodless cylinder of a glass-wall cleaning robot for high-rise buildings

X. J. He; S. K. Tso; Y. H. Fung The 2002 International Conference on Control and Automation, 2002. ICCA. Final Program and Book of Abstracts., 2002

First Page of the Article ![](/xploreAssets/images/absImages/01229436.png)


Study on data preprocessing algorithm in Web log mining

Fang Yuan; Li-Juan Wang; Ge Yu Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693), 2003

An important fundamental task for Web log mining is data preprocessing. Now there are some principles about data preprocessing, which has difficulty in application. According to these principles, this paper presents some new rules and algorithms, which can be used to improve the performance of data preprocessing. These rules and algorithms have been proved valid and efficient by experiments.


Alleviating the Impact of Coincidental Correctness on the Effectiveness of SFL by Clustering Test Cases

Li Weishi; Xiaoguang Mao 2014 Theoretical Aspects of Software Engineering Conference, 2014

Spectrum-based fault localization techniques leverage coverage information to identify the faulty elements of the program via passed and failed runs. However, the effectiveness of these techniques can be affected adversely by coincidental correctness, which occurs when faulty elements are executed, but the program produces the correct output. This paper proposes a clustering- based strategy to improve the effectiveness of spectrum-based ...


In situ and ex situ observation of spin valves obtained by ion-beam deposition

D. Guarisco; E. Kay; S. X. Wang IEEE Transactions on Magnetics, 1997

"Bottom" spin valves of the type NiO/15 Å NiFe/15 Å Co/tCu Cu/20 Å Co/50 Å NiFe were prepared by ion-beam deposition (IBD) on a Si(100)/NiO substrate. It is found that cleaning the substrates by ion-beam etching prior to the deposition of the multilayer has a significant influence on the magnetic properties of the spin valve. In particular, longer etching leads ...


More Xplore Articles

Educational Resources on Cleaning

Back to Top

eLearning

The collimation system of the SNS transfer lines

N. Catalan-Lasheras; D. Raparia PACS2001. Proceedings of the 2001 Particle Accelerator Conference (Cat. No.01CH37268), 2001

The High Energy Beam Transport (HEBT) and Ring to Target Beam Transport (RTBT) lines of the Spallation Neutron Source (SNS) include collimation systems that protect the line itself, as well as the systems downstream. Due to the one- pass mechanism in a transfer line, collimation can only provide protection against accidental losses while shaping the beam is reserved for multi-pass ...


Position control of a pneumatic rodless cylinder of a glass-wall cleaning robot for high-rise buildings

X. J. He; S. K. Tso; Y. H. Fung The 2002 International Conference on Control and Automation, 2002. ICCA. Final Program and Book of Abstracts., 2002

First Page of the Article ![](/xploreAssets/images/absImages/01229436.png)


Study on data preprocessing algorithm in Web log mining

Fang Yuan; Li-Juan Wang; Ge Yu Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693), 2003

An important fundamental task for Web log mining is data preprocessing. Now there are some principles about data preprocessing, which has difficulty in application. According to these principles, this paper presents some new rules and algorithms, which can be used to improve the performance of data preprocessing. These rules and algorithms have been proved valid and efficient by experiments.


Alleviating the Impact of Coincidental Correctness on the Effectiveness of SFL by Clustering Test Cases

Li Weishi; Xiaoguang Mao 2014 Theoretical Aspects of Software Engineering Conference, 2014

Spectrum-based fault localization techniques leverage coverage information to identify the faulty elements of the program via passed and failed runs. However, the effectiveness of these techniques can be affected adversely by coincidental correctness, which occurs when faulty elements are executed, but the program produces the correct output. This paper proposes a clustering- based strategy to improve the effectiveness of spectrum-based ...


In situ and ex situ observation of spin valves obtained by ion-beam deposition

D. Guarisco; E. Kay; S. X. Wang IEEE Transactions on Magnetics, 1997

"Bottom" spin valves of the type NiO/15 Å NiFe/15 Å Co/tCu Cu/20 Å Co/50 Å NiFe were prepared by ion-beam deposition (IBD) on a Si(100)/NiO substrate. It is found that cleaning the substrates by ion-beam etching prior to the deposition of the multilayer has a significant influence on the magnetic properties of the spin valve. In particular, longer etching leads ...


More eLearning Resources

IEEE-USA E-Books

  • Continuous Monitoring

    This chapter contains sections titled: Introduction Continuous Contamination Monitoring Continuous Monitoring of Manufacturing Evaluation of In Situ Monitoring in an Aqueous Cleaning Application Antennas for Electrostatic Charge Monitoring References and Notes

  • Mitigation Options for Improved Performance in Pollution Conditions

    This chapter contains sections titled: Monitoring for Maintenance Cleaning of Insulators Coating of Insulators Adding Accessories Adding More Insulators Changing to Improved Designs Changing to Semiconducting Glaze Changing to Polymer Insulators Précis References

  • Cold Plasma Processes for Surface Modification

    This chapter contains sections titled: Introduction Surface Modification of Polymers Surface Cleaning and Ashing Oxidation Surface Hardening Questions References

  • Cleaning and Lubrication

    This chapter contains sections titled: Grease or Oil?, Lubrication Systems, Oil, Washing, How Often to Lubricate?, How Much Lubricant?, How and Where to Lubricate?

  • No title

    Probabilistic databases are databases where the value of some attributes or the presence of some records are uncertain and known only with some probability. Applications in many areas such as information extraction, RFID and scientific data management, data cleaning, data integration, and financial risk assessment produce large volumes of uncertain data, which are best modeled and processed by a probabilistic database. This book presents the state of the art in representation formalisms and query processing techniques for probabilistic data. It starts by discussing the basic principles for representing large probabilistic databases, by decomposing them into tuple- independent tables, block-independent-disjoint tables, or U-databases. Then it discusses two classes of techniques for query evaluation on probabilistic databases. In extensional query evaluation, the entire probabilistic inference can be pushed into the database engine and, therefore, processed as effectively as the evaluati n of standard SQL queries. The relational queries that can be evaluated this way are called safe queries. In intensional query evaluation, the probabilistic inference is performed over a propositional formula called lineage expression: every relational query can be evaluated this way, but the data complexity dramatically depends on the query being evaluated, and can be #P-hard. The book also discusses some advanced topics in probabilistic data management such as top-k query processing, sequential probabilistic databases, indexing and materialized views, and Monte Carlo databases. Table of Contents: Overview / Data and Query Model / The Query Evaluation Problem / Extensional Query Evaluation / Intensional Query Evaluation / Advanced Techniques

  • No title

    Data warehouses consolidate various activities of a business and often form the backbone for generating reports that support important business decisions. Errors in data tend to creep in for a variety of reasons. Some of these reasons include errors during input data collection and errors while merging data collected independently across different databases. These errors in data warehouses often result in erroneous upstream reports, and could impact business decisions negatively. Therefore, one of the critical challenges while maintaining large data warehouses is that of ensuring the quality of data in the data warehouse remains high. The process of maintaining high data quality is commonly referred to as data cleaning. In this book, we first discuss the goals of data cleaning. Often, the goals of data cleaning are not well defined and could mean different solutions in different scenarios. Toward clarifying these goals, we abstract out a common set of data cleaning tasks that often ne d to be addressed. This abstraction allows us to develop solutions for these common data cleaning tasks. We then discuss a few popular approaches for developing such solutions. In particular, we focus on an operator-centric approach for developing a data cleaning platform. The operator-centric approach involves the development of customizable operators that could be used as building blocks for developing common solutions. This is similar to the approach of relational algebra for query processing. The basic set of operators can be put together to build complex queries. Finally, we discuss the development of custom scripts which leverage the basic data cleaning operators along with relational operators to implement effective solutions for data cleaning tasks.

  • Discovering Patterns and Reference Models in the Medical Domain of Isokinetics

    This chapter contains sections titled: Introduction Related Work Preprocessing and Cleaning Patient Isokinetic Records Discovering Patterns Algorithm to Create Reference Models for Population Groups Evaluation Conclusions This chapter contains sections titled: Acknowledgments References

  • Making Cleaner Code and Output

    This chapter contains sections titled: Cleaning Up Your Code Cleaning Up Your Output Assignment

  • Getting Clean Parts and Getting Parts Clean

    This chapter contains sections titled: Introduction Historical Perspective Gross and Precision Cleanliness Protocols Design for Manufacturability and Cleanability Process Design Guidelines Cleaning Processes Drying Processes Cost of Cleaning Vendor Process Contamination Checklist Case Studies: Cleaning Equipment and Cleaning Process Design Details on the Clean-Then Assemble and Assemble-Then Clean Procedures Particle Size Distributions Tool Part Cleanliness References and Notes

  • No title

    Integrity constraints are semantic conditions that a database should satisfy in order to be an appropriate model of external reality. In practice, and for many reasons, a database may not satisfy those integrity constraints, and for that reason it is said to be inconsistent. However, and most likely, a large portion of the database is still semantically correct, in a sense that has to be made precise. After having provided a formal characterization of consistent data in an inconsistent database, the natural problem emerges of extracting that semantically correct data, as query answers. The consistent data in an inconsistent database is usually characterized as the data that persists across all the database instances that are consistent and minimally differ from the inconsistent instance. Those are the so-called repairs of the database. In particular, the consistent answers to a query posed to the inconsistent database are those answers that can be simultaneously obtained from all the atabase repairs. As expected, the notion of repair requires an adequate notion of distance that allows for the comparison of databases with respect to how much they differ from the inconsistent instance. On this basis, the minimality condition on repairs can be properly formulated. In this monograph we present and discuss these fundamental concepts, different repair semantics, algorithms for computing consistent answers to queries, and also complexity-theoretic results related to the computation of repairs and doing consistent query answering. Table of Contents: Introduction / The Notions of Repair and Consistent Answer / Tractable CQA and Query Rewriting / Logically Specifying Repairs / Decision Problems in CQA: Complexity and Algorithms / Repairs and Data Cleaning



Standards related to Cleaning

Back to Top

No standards are currently tagged "Cleaning"


Jobs related to Cleaning

Back to Top