CETIS, Complex Effluents Toxicity Information System : data encoding guidelines and procedures /

"CR807240."

H-44 operator's manual. Heatwole 44 information and data processing equipment.

Mode of access: Internet.

Solar energy information and data for Illinois /

Cover title.

Compliance with standards, abatement of violations and effectiveness of OSHA safety inspections : results of an analysis of OSHA management information system data /

Bibliography: p. 52.

How to locate educational information and data; an aid to quick utilization of the literature of education

Mode of access: Internet.

Investigating information requirements for evaluating effectiveness of marine protected areas - Indonesian case studies

Identifying the information needs of managers and other stakeholders is an important first step in designing an evaluation of management effectiveness for marine protected areas (MPAs) that will be relevant to local circumstances and useful for improving management practices. Information requirements for evaluating effectiveness were investigated at two MPAs in Indonesia. Results show that, despite similar management objectives, information needs for evaluation differ between sites and those differences reflect the unique context within which management operates in each case. The scope of information needs at each site covers a broad range of issues including context, planning, resources, processes, outputs, and outcomes. Relevant components of a variety of different evaluation tools will need to be used to satisfy information needs at these sites. Evaluation tools that are based primarily on stated management objectives or the expressed views of a few key stakeholders are unlikely to be very useful for improving management in these cases.

Customer information system data pre-processing with feature selection techniques for non-technical losses prediction in an electricity market

Non-technical losses (NTL) identification and prediction are important tasks for many utilities. Data from customer information system (CIS) can be used for NTL analysis. However, in order to accurately and efficiently perform NTL analysis, the original data from CIS need to be pre-processed before any detailed NTL analysis can be carried out. In this paper, we propose a feature selection based method for CIS data pre-processing in order to extract the most relevant information for further analysis such as clustering and classifications. By removing irrelevant and redundant features, feature selection is an essential step in data mining process in finding optimal subset of features to improve the quality of result by giving faster time processing, higher accuracy and simpler results with fewer features. Detailed feature selection analysis is presented in the paper. Both time-domain and load shape data are compared based on the accuracy, consistency and statistical dependencies between features.

Fourth National Information Day and Workshop: Open Access to Scientific Information and Data

The paper presents in brief the “2nd Generation Open Access Infrastructure for Research in Europe” project (http://www.openaire.eu/) and what is done in Bulgaria during the last year in the area of open access to scientific information and data.

The Fifth National Information Day: Open Access to Scientific Information and Data

This work was supported in part by the EU „2nd Generation Open Access Infrastructure for Research in Europe" (OpenAIRE+). The autumn training school Development and Promotion of Open Access to Scientific Information and Research is organized in the frame of the Fourth International Conference on Digital Presentation and Preservation of Cultural and Scientific Heritage—DiPP2014 (September 18–21, 2014, Veliko Tarnovo, Bulgaria, http://dipp2014.math.bas.bg/), organized under the UNESCO patronage. The main organiser is the Institute of Mathematics and Informatics, Bulgarian Academy of Sciences with the support of EU project FOSTER (http://www.fosteropenscience.eu/) and the P. R. Slaveykov Regional Public Library in Veliko Tarnovo, Bulgaria.

Data partitioning and replication management in distributed geographic information system (GIS) database

This research presents several components encompassing the scope of the objective of Data Partitioning and Replication Management in Distributed GIS Database. Modern Geographic Information Systems (GIS) databases are often large and complicated. Therefore data partitioning and replication management problems need to be addresses in development of an efficient and scalable solution. ^ Part of the research is to study the patterns of geographical raster data processing and to propose the algorithms to improve availability of such data. These algorithms and approaches are targeting granularity of geographic data objects as well as data partitioning in geographic databases to achieve high data availability and Quality of Service(QoS) considering distributed data delivery and processing. To achieve this goal a dynamic, real-time approach for mosaicking digital images of different temporal and spatial characteristics into tiles is proposed. This dynamic approach reuses digital images upon demand and generates mosaicked tiles only for the required region according to user's requirements such as resolution, temporal range, and target bands to reduce redundancy in storage and to utilize available computing and storage resources more efficiently. ^ Another part of the research pursued methods for efficient acquiring of GIS data from external heterogeneous databases and Web services as well as end-user GIS data delivery enhancements, automation and 3D virtual reality presentation. ^ There are vast numbers of computing, network, and storage resources idling or not fully utilized available on the Internet. Proposed "Crawling Distributed Operating System "(CDOS) approach employs such resources and creates benefits for the hosts that lend their CPU, network, and storage resources to be used in GIS database context. ^ The results of this dissertation demonstrate effective ways to develop a highly scalable GIS database. The approach developed in this dissertation has resulted in creation of TerraFly GIS database that is used by US government, researchers, and general public to facilitate Web access to remotely-sensed imagery and GIS vector information. ^

Mitigating the syndromes of desertification: The requirements for transdisciplinary research and information exchange

In developing meaningful mitigation strategies to combat desertification, it is important to address the complex constellation of desertification under different bio-physical, social, demographic, political and economic conditions. In particular, desertification can be described as a cluster of key processes of global change which together form a typical syndrome. A critical reflection on the potential of research to help mitigate desertification will be a useful first step, before addressing the requirements for research partnerships between institutions at local levels and beyond. A practical example from Eritrea, an ecoregion which has been plagued by desertification for many centuries, is given at the end of the paper. It illustrates options for generating the necessary data and developing useful information in order to enhance the impact of research on sustainable development.