53,275 research outputs found
NH DES Site Specific Program Policy Alternatives
In New Hampshire, the Department of Environmental Servicesâ (NH DES) Site Specific Program, which enforces Administrative Rule Env-Ws 415 pursuant to RSA 485, is the primary mechanism for regulating stormwater runoff from development sites to surface waters. Rule Env-Ws 415 expires June 30, 2004. Although Program staff will recommend renewing the current Rule to continue regulatory authority over the short term, NH DES has also expressed an intention to organize a committee that will renew and revise Env-Ws 415 during the course of 2004 and 2005.
The purpose of this report is to provide NH DES with applicable stormwater management policy alternatives for consideration during the revision of Env-Ws 415 and the Site Specific Program. When approached for suggestions on how the NHEP could assist NH DES staff with the Rule revision process, NH DES requested assistance with identifying consistently referenced and credible citations for best management practice recommendations, particularly those that promote infiltration, in other states. A list of references cited by best management practices manuals is included as an appendix to this paper
Using concept lattices to mine functional dependencies
Concept Lattices have been proved to be a valuable tool to represent
the knowlegde in a database.
In this paper we show how functional dependencies in databases
can be extracted using Concept Lattices, not preprocessing the original
database,
but providing a new closure operator. We also prove that this method
generalizes the previous methods and
closure operators that are being used to find association rules in binary
databases.Postprint (published version
Increasing the Efficiency of Rule-Based Expert Systems Applied on Heterogeneous Data Sources
Nowadays, the proliferation of heterogeneous data sources provided by different
research and innovation projects and initiatives is proliferating more and more and
presents huge opportunities. These developments create an increase in the number
of different data sources, which could be involved in the process of decisionmaking
for a specific purpose, but this huge heterogeneity makes this task difficult.
Traditionally, the expert systems try to integrate all information into a main
database, but, sometimes, this information is not easily available, or its integration
with other databases is very problematic. In this case, it is essential to establish
procedures that make a metadata distributed integration for them. This process
provides a âmappingâ of available information, but it is only at logic level. Thus, on
a physical level, the data is still distributed into several resources. In this sense, this
chapter proposes a distributed rule engine extension (DREE) based on edge computing
that makes an integration of metadata provided by different heterogeneous
data sources, applying then a mathematical decomposition over the antecedent of
rules. The use of the proposed rule engine increases the efficiency and the capability
of rule-based expert systems, providing the possibility of applying these rules over
distributed and heterogeneous data sources, increasing the size of data sets that
could be involved in the decision-making process
A rational approach to the harmonisation of the thermal properties of building materials
The Energy Systems Research Unit at the University of Strathclyde in Glasgow was contracted by the Building Research Establishment to review existing data-sets of thermo-physical properties of building materials and devise vetting and conflation mechanisms. The UK Chartered Institute of Building Services Engineers subsequently commissioned a project to extract a sub-set of these data for inclusion in Guide A, Section 3. This paper reports the project process and outcome. Specifically, it describes the source of existing data, comments on the robustness of the underlying test procedures and presents a new approach to data classification and conflation
Next generation assisting clinical applications by using semantic-aware electronic health records
The health care sector is no longer imaginable without electronic health records. However; since the original idea of electronic health records was focused on data storage and not on data processing, a lot of current implementations do not take full advantage of the opportunities provided by computerization. This paper introduces the Patient Summary Ontology for the representation of electronic health records and demonstrates the possibility to create next generation assisting clinical applications based on these semantic-aware electronic health records. Also, an architecture to interoperate with electronic health records formatted using other standards is presented
SciTech News Volume 70, No. 4 (2016)
Columns and Reports
From the Editor 3
Division News
Science-Technology Division 4
SLA Annual Meeting 2016 Report (S. Kirk Cabeen Travel Stipend Award recipient) 6
Reflections on SLA Annual Meeting (Diane K. Foster International Student Travel Award recipient) 8
SLA Annual Meeting Report (Bonnie Hilditch International Librarian Award recipient)10
Chemistry Division 12
Engineering Division 15
Reflections from the 2016 SLA Conference (SPIE Digital Library Student Travel Stipend recipient)15
Fundamentals of Knowledge Management and Knowledge Services (IEEE Continuing Education Stipend recipient) 17
Makerspaces in Libraries: The Big Table, the Art Studio or Something Else? (by Jeremy Cusker) 19
Aerospace Section of the Engineering Division 21
Reviews
Sci-Tech Book News Reviews 22
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IEEE 17
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