A systematic method of reusing objects extracted from legacy systems

2003 ◽  
Author(s):  
Jiang Guo
Keyword(s):  
Legacy Systems ◽  
Systematic Method

Job Validation Studies and Physical Agility Testing: Is the Vendor Telling You What They Think You Want or Are You Telling Them What You Need?

2016 ◽  
Vol 21 (6) ◽  
pp. 5-11
Author(s):  
E. Randolph Soo Hoo ◽  
Stephen L. Demeter
Keyword(s):  
Equal Employment Opportunity Commission ◽  
Job Analysis ◽  
Specific Work ◽  
Test Protocol ◽  
Systematic Method ◽  
Technical Standards ◽  
Work Related ◽  
Physical Abilities ◽  
Specific Factors ◽  
Key Terms

Abstract Referring agents may ask independent medical evaluators if the examinee can return to work in either a normal or a restricted capacity; similarly, employers may ask external parties to conduct this type of assessment before a hire or after an injury. Functional capacity evaluations (FCEs) are used to measure agility and strength, but they have limitations and use technical jargon or concepts that can be confusing. This article clarifies key terms and concepts related to FCEs. The basic approach to a job analysis is to collect information about the job using a variety of methods, analyze the data, and summarize the data to determine specific factors required for the job. No single, optimal job analysis or validation method is applicable to every work situation or company, but the Equal Employment Opportunity Commission offers technical standards for each type of validity study. FCEs are a systematic method of measuring an individual's ability to perform various activities, and results are matched to descriptions of specific work-related tasks. Results of physical abilities/agilities tests are reported as “matching” or “not matching” job demands or “pass” or “fail” meeting job criteria. Individuals who fail an employment physical agility test often challenge the results on the basis that the test was poorly conducted, that the test protocol was not reflective of the job, or that levels for successful completion were inappropriate.

Every Detail Counts: Robert Stoller, Perversion and the Production of Pornography

2020 ◽  
Vol 22 (1) ◽  
pp. 35-52
Author(s):  
Jeffrey Escoffier
Keyword(s):  
Film Industry ◽  
Ethnographic Study ◽  
Systematic Method ◽  
Body Of Knowledge ◽  
Sexuality And Gender ◽  
Pornographic Film ◽  
And Gender ◽  
Do So

After the publication of his pioneering book Sexual Excitement in 1979, Robert Stoller devoted the last 12 years of his life to the study of the pornographic film industry. To do so, he conducted an ethnographic study of people working in the industry in order to find out how it produced ‘perverse fantasies’ that successfully communicated sexual excitement to other people. In the course of his investigation he observed and interviewed those involved in the making of pornographic films. He hypothesized that the ‘scenarios’ developed and performed by people in the porn industry were based on their own perverse fantasies and their frustrations, injuries and conflicts over sexuality and gender; and that the porn industry had developed a systematic method and accumulated a sophisticated body of knowledge about the production of sexual excitement. This paper explores Stoller's theses and shows how they fared in his investigation.

The Physical Isolation of a Die in a Stacked-Die Configuration

2014 ◽  
Author(s):  
Vivian Jang ◽  
Ken Sias
Keyword(s):  
Failure Analysis ◽  
Systematic Method ◽  
Physical Isolation

Abstract This paper will illustrate the procedures to physically isolate one die in a stacked-die configuration. This highly reliable, systematic method allows for failure analysis engineers of all levels to successfully isolate the die of interest for further investigation.

A Distributed-Ledger, Edge-Computing Architecture for Automation and Computer Integration in Semiconductor Manufacturing

2020 ◽  
pp. 13-29
Author(s):  
Da-Yin Liao
Keyword(s):  
Semiconductor Manufacturing ◽  
Manufacturing Systems ◽  
Edge Computing ◽  
Legacy Systems ◽  
Software Framework ◽  
Computer Integration ◽  
Computing Architecture ◽  
Disruptive Technologies ◽  
Distributed Ledger ◽  
Operational Structure

Contemporary 300mm semiconductor manufacturing systems have highly automated and digitalized cyber-physical integration. They suffer from the profound problems of integrating large, centralized legacy systems with small islands of automation. With the recent advances in disruptive technologies, semiconductor manufacturing has faced dramatic pressures to reengineer its automation and computer integrated systems. This paper proposes a Distributed-Ledger, Edge-Computing Architecture (DLECA) for automation and computer integration in semiconductor manufacturing. Based on distributed ledger and edge computing technologies, DLECA establishes a decentralized software framework where manufacturing data are stored in distributed ledgers and processed locally by executing smart contracts at the edge nodes. We adopt an important topic of automation and computer integration for semiconductor research &development (R&D) operations as the study vehicle to illustrate the operational structure and functionality, applications, and feasibility of the proposed DLECA software framework.

Workflow-based method for customizing J2EE legacy systems

2009 ◽  
Vol 29 (7) ◽  
pp. 1760-1763 ◽  
Author(s):  
Fan ZHANG ◽  
Feng YUAN ◽  
Yong-ji WANG
Keyword(s):  
Legacy Systems

Incremental Modernization of Legacy Systems

2001 ◽  
Author(s):  
Santiago Comella-Dorda ◽  
Grace A. Lewis ◽  
Pat Place ◽  
Dan Plakosh ◽  
Robert C. Seacord
Keyword(s):  
Legacy Systems

scholarly journals Systematic Method for the Energy-Saving Potential Calculation of Air-Conditioning Systems via Data Mining. Part I: Methodology

Energies ◽  
2020 ◽  
Vol 14 (1) ◽  
pp. 81
Author(s):  
Rongjiang Ma ◽  
Shen Yang ◽  
Xianlin Wang ◽  
Xi-Cheng Wang ◽  
Ming Shan ◽  
...  
Keyword(s):  
Data Mining ◽  
Energy Consumption ◽  
Energy Saving ◽  
Air Conditioning ◽  
Storage System ◽  
Operation Mode ◽  
Systematic Method ◽  
Potential Analysis ◽  
Energy Saving Potential ◽  
Air Conditioning Systems

Air-conditioning systems contribute the most to energy consumption among building equipment. Hence, energy saving for air-conditioning systems would be the essence of reducing building energy consumption. The conventional energy-saving diagnosis method through observation, test, and identification (OTI) has several drawbacks such as time consumption and narrow focus. To overcome these problems, this study proposed a systematic method for energy-saving diagnosis in air-conditioning systems based on data mining. The method mainly includes seven steps: (1) data collection, (2) data preprocessing, (3) recognition of variable-speed equipment, (4) recognition of system operation mode, (5) regression analysis of energy consumption data, (6) constraints analysis of system running, and (7) energy-saving potential analysis. A case study with a complicated air-conditioning system coupled with an ice storage system demonstrated the effectiveness of the proposed method. Compared with the traditional OTI method, the data-mining-based method can provide a more comprehensive analysis of energy-saving potential with less time cost, although it strongly relies on data quality in all steps and lacks flexibility for diagnosing specific equipment for energy-saving potential analysis. The results can deepen the understanding of the operating data characteristics of air-conditioning systems.

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