Selective Laser Sintering Process Management Using a Relational Database

With more and more materials used in the Selective Laser Sintering (SLS) process, it is becoming necessary to use a database to manage the process efficiently. In this paper, a relational database for the SLS process is described. The database includes powdered material data, sintering parameters, machine characteristics, mechanical properties and surface quality of prototypes. Use ofthis database will make it is easy to store and retrieve processing information and make decisions for planning the SLS. This paper will go on to describe how the database can be extended to include other RP technologies.Mechanical Engineerin

Investigating Philadelphia's Uncertified Childcare Providers

Reinvestment Fund's ChildCare Map provides information about the location, size, and quality of early childcare centers operating in Philadelphia. When ChildCare Map launched in 2014 researchers identified a large number of "uncertified providers"--childcare centers operating in Philadelphia, but not listed in the state's OCDEL database. Uncertified providers operate outside of the state's official records, and therefore very little information exists about their size, services, or quality

NHEP Water Quality Funding Sources

The New Hampshire Estuaries Project (NHEP) Management Plan, published in 2000, sets forth three goals related to estuarine water quality in the State’s coastal watershed, and twenty Water Quality Action Plans to implement these goals. The goals direct the NHEP to: 1) ensure that New Hampshire’s estuarine waters and tributaries will meet standards for pathogenic bacteria including fecal coliform, E. coli, and Enterocci; 2) ensure that New Hampshire’s estuarine waters, tributaries, sediments, and edible portions of fish, shellfish, other aquatic life, and wildlife will meet standards for priority contaminants such as metals, PCBs, PAHs, and oil and grease; and, 3) ensure that New Hampshire’s estuarine waters and tributaries will meet standards for organic and inorganic nutrients, specifically nitrogen, phosphorous, chlorophyll A (freshwater), dissolved oxygen, and biological oxygen demand (BOD). Action Plan WQ-16, “Find funding sources for key water quality strategies,” directs the NHEP to develop a database of potential funding sources to implement Water Quality Action Plans outlined in its Management Plan. In May 2004, the NHEP began implementation of Action WQ- 16. Two tables comprise this database. Table 1 summarizes specific federal, state, and nonprofit funding programs whose objectives overlap Water Quality Action Plans from the Management Plan. Table 2 lists references, including web pages and electronic documents, which can serve as general resources for parties interested in implementing water quality protection and improvement goals. This document summarizes the NHEP Water Quality Database contents as of June 2004. Funding availability, contact information, and program objectives were compiled based on information available at this time and are subject to change

Funding Sources for Key Water Quality Strategies, Craig, M

The New Hampshire Estuaries Project (NHEP) Management Plan, published in 2000, sets forth three goals related to estuarine water quality in the State’s coastal watershed, and twenty Water Quality Action Plans to implement these goals. The goals direct the NHEP to: 1) ensure that New Hampshire’s estuarine waters and tributaries will meet standards forpathogenic bacteria including fecal coliform, E. coli, and Enterocci; 2) ensure that NewHampshire’s estuarine waters, tributaries, sediments, and edible portions of fish, shellfish, other aquatic life, and wildlife will meet standards for priority contaminants such as metals, PCBs, PAHs, and oil and grease; and, 3) ensure that New Hampshire’s estuarine waters and tributaries will meet standards for organic and inorganic nutrients, specifically nitrogen,phosphorous, chlorophyll A (freshwater), dissolved oxygen, and biological oxygen demand (BOD). Action Plan WQ-16, “Find funding sources for key water quality strategies,” directs the NHEP to develop a database of potential funding sources to implement Water Quality Action Plans outlined in its Management Plan. In May 2004, the NHEP began implementation of Action WQ-16. Two tables comprise this database. Table 1 summarizes specific federal, state, and nonprofit funding programs whose objectives overlap Water Quality Action Plans from the Management Plan. Table 2 lists references, including web pages and electronic documents, which can serve as general resources for parties interested in implementing water quality protection and improvement goals.This document summarizes the NHEP Water Quality Database contents as of June 2004. Funding availability, contact information, and program objectives were compiled based on information available at this time and are subject to change

European HYdropedological Data Inventory (EU-HYDI)

There is a common need for reliable hydropedological information in Europe. In the last decades research institutes, universities and government agencies have developed local, regional and national datasets containing soil physical, chemical, hydrological and taxonomic information often combined with land use and landform data. A hydrological database for western European soils was also created in the mid-1990s. However, a comprehensive European hydropedological database, with possible additional information on chemical parameters and land use is still missing. A comprehensive joint European hydropedological inventory can serve multiple purposes, including scientific research, modelling and application of models on different geographical scales. The objective of the joint effort of the participants is to establish the European Hydropedological Data Inventory (EU-HYDI). This database holds data from European soils focusing on soil physical, chemical and hydrological properties. It also contains information on geographical location, soil classification and land use/cover at the time of sampling. It was assembled with the aim of encompassing the soil variability in Europe. It contains data from 18 countries with contributions from 29 institutions. This report presents an overview of the database, details the individual contributed datasets and explains the quality assurance and harmonization process that lead to the final database

The effects of water quality on freshwater fish populations - final report

There is a need to determine quantitative relationships between fishery status and water quality in order to make informed judgements concerning fishery health and the setting of environmental quality standards for fishery protection. Such relationships would also assist in the formulation of a system for classifying fisheries. A national database of fisheries and water quality has been collated from the archives of pollution control authorities throughout the UK. A number of probable and potential water quality effects on fish populations have been identified from a thorough analysis of the database, notwithstanding large confounding effects such as habitat variation and fish mobility, and the generally sparse nature of water quality information. A number of different approaches to data analysis was utilised, and the value of each has been appraised. Recommendations concerning the integration of water quality assessment approaches have been made and further research on fishery status, and its measurement, in relation to water quality has been suggested

TEST OF DATA QUALITY OF THE DATABASE OF MANAGEMENT INFORMATION SYSTEM OF COKROAMINOTO PALOPO UNIVERSITY

Information system can not be separated with database. What is shown by system is the result of data processing in database. The needs of quick and flexible information make humanfind new things of data processing. They have been minimalizing paper use and change it with digital data saved in one computer as data centre. Now, most of system information already use Relational Database Management System (RDBMS). Compared with office application such as Microsoft Office Excel, RDBMS has spesial advantage, but itneeds maximum effort to implement it. The information generated by information system relies on existing data in the database, so that the quality of the data in the database is very influential.This research was conducted to test the quality of the data from the database Management Information System of Cokroaminoto Palopo University is the data of students and lecturers. This study uses data of students and lecturers taken from the student and lecturer tables inside database Management Information System of Cokroaminoto Palopo University. The test results indicate that the data quality of the students and lecturers data does not reach 100

Database Vs Data Warehouse

Data warehouse technology includes a set of concepts and methods that offer the users useful information for decision making. The necessity to build a data warehouse arises from the necessity to improve the quality of information in the organization. The date proceeding from different sources, having a variety of forms - both structured and unstructured, are filtered according to business rules and are integrated in a single large data collection. Using informatics solutions, managers have understood that data stored in operational systems - including databases, are an informational gold mine that must be exploited. Data warehouses have been developed to answer the increasing demands for complex analysis, which could not be properly achieved with operational databases. The present paper emphasizes some of the criteria that information application developers can use in order to choose between a database solution or a data warehouse one.data warehouse, database, database management systems, information systems, data organisation in externe memory, business intelligence