scholarly journals Datavis: a research work in data management toolkit

2005 ◽  
Author(s):  
Aashish Chaudhary
Keyword(s):  
Data Management ◽  
Research Work

scholarly journals TERMISUL E INFORMÁTICA: CAMINHO PERCORRIDO E HORIZONTE A ALCANÇAR

Organon ◽  
2011 ◽  
Vol 25 (50) ◽  
Author(s):  
Anna Maria Becker Maciel
Keyword(s):  
Data Management ◽  
Research Work ◽  
Cooperative Work ◽  
Digital Resources ◽  
Ongoing Research ◽  
Computer Scientists

This paper reports on the quest for the interface between Terminology, Informaticsand the Termisul Project. Three landmarks highlight the account, DOS, Windows, and Internet.They characterize the steps of a team of linguists towards the computerized era. As far as thetechnology advanced, their perception of digital resources changed from being mereoperational help in data management to representing sophisticated tools assisting research andeventually to the demand of cooperative work with computer scientists. The difficulties of theearly stages encountered in the path tread are remembered. The meaningful results of theefforts taken are described. The challenges of the ongoing research work are outlined.

XML Data Management in Object Relational Database Systems

2010 ◽  
pp. 18-46
Author(s):  
Zhen Hua Liu ◽  
Anguel Novoselsky ◽  
Vikas Arora
Keyword(s):  
Data Management ◽  
Research Work ◽  
Database Systems ◽  
Xml Data ◽  
Significant Research ◽  
Object Relational ◽  
Pros And Cons ◽  
Relational Database Systems ◽  
Xml Indexing ◽  
Xml Data Management

Since the advent of XML, there has been significant research into integrating XML data management with Relational DBMS and Object Relational DBMS (ORDBMS). This chapter describes the XML data management capabilities in ORDBMS, various design approaches and implementation techniques to support these capabilities, as well as the pros and cons of each design and implementation approach. Key topics such as XML storage, XML Indexing, XQuery and SQL/XML processing, are discussed in depth presenting both academic and industrial research work in these areas.

scholarly journals A Comprehensive Review on Sustainable Aspects of Big Data Analytics for the Smart Grid

2021 ◽  
Vol 13 (23) ◽  
pp. 13322
Author(s):  
Vinoth Kumar Ponnusamy ◽  
Padmanathan Kasinathan ◽  
Rajvikram Madurai Elavarasan ◽  
Vinoth Ramanathan ◽  
Ranjith Kumar Anandan ◽  
...  
Keyword(s):  
Big Data ◽  
Smart Grid ◽  
Data Management ◽  
Smart Grids ◽  
Data Analytics ◽  
Management Practices ◽  
Research Work ◽  
Big Data Analytics ◽  
Energy Data ◽  
The Sustainable Development

The role of energy is cardinal for achieving the Sustainable Development Goals (SDGs) through the enhancement and modernization of energy generation and management practices. The smart grid enables efficient communication between utilities and the end- users, and enhances the user experience by monitoring and controlling the energy transmission. The smart grid deals with an enormous amount of energy data, and the absence of proper techniques for data collection, processing, monitoring and decision-making ultimately makes the system ineffective. Big data analytics, in association with the smart grid, enable better grid visualization and contribute toward the attainment of sustainability. The current research work deals with the achievement of sustainability in the smart grid and efficient data management using big data analytics, that has social, economic, technical and political impacts. This study provides clear insights into energy data generated in the grid and the possibilities of energy theft affecting the sustainable future. The paper provides insights about the importance of big data analytics, with their effects on the smart grids’ performance towards the achievement of SDGs. The work highlights efficient real-time energy data management involving artificial intelligence and machine learning for a better future, to short out the effects of the conventional smart grid without big data analytics. Finally, the work discusses the challenges and future directions to improve smart grid technologies with big data analytics in action.

Public E-Health Network System Using Arduino Controller

2019 ◽  
Vol 16 (2) ◽  
pp. 544-549 ◽  
Author(s):  
J.S. Sujin ◽  
N. Gandhiraj ◽  
D. Selvakumar ◽  
Satheesh S. Kumar
Keyword(s):  
Data Management ◽  
Real Time ◽  
Research Work ◽  
Sensor Nodes ◽  
Network System ◽  
Health Changes ◽  
Time Signals ◽  
Sensor Signals ◽  
Social Use ◽  
Age Category

An E-health Multifunctional system is proposed for people in all age category in this work. Simply, the different sensors are fixed on a coat. When the coatis worn by people, the sensors situated in the coat will be get activated. Then it will automatically examine various parameters about health and the same information send to monitor or website or mobile. This is used for personal and social use. An example is presented with different sensor signals and continuous Real time monitoring the health changes from the home. Sensors are embedded in to the atmosphere, it will give various changes which is differs from behavior of human biological signals and activity with patterns. Changes in signals are detected to each potential point of changing health. The information from the sensors investigated and it will store and uses this for making a comparison of last 180 days status. A 1-D alert algorithm integrated to the system where the health alerts to nurse or doctor which is already fixed or pre decided. Research work is based on analyze of each alert signals and monitoring the comparative signal on the hospital relevance. This result is used for a training classes and best medical solutions. The information about health is managed for future purpose using database. A methodology is introduced in this work with 10 sensors that are capable of multisensory signals and data Management of Real-time signals. Information is processed at various sensor nodes and transfers to the main hub for further processing.

scholarly journals Ontologies and Data Management: A Brief Survey

2020 ◽  
Vol 34 (3) ◽  
pp. 329-353 ◽  
Author(s):  
Thomas Schneider ◽  
Mantas Šimkus
Keyword(s):  
Information Systems ◽  
Data Management ◽  
Research Work ◽  
Background Knowledge ◽  
Heterogeneous Data ◽  
Complete Data ◽  
Data Systems

Abstract Information systems have to deal with an increasing amount of data that is heterogeneous, unstructured, or incomplete. In order to align and complete data, systems may rely on taxonomies and background knowledge that are provided in the form of an ontology. This survey gives an overview of research work on the use of ontologies for accessing incomplete and/or heterogeneous data.

scholarly journals Advances in Multi-Process Hybrid Production Cells for Rapid Individualised Laser-Based Production

2021 ◽  
Vol 11 (4) ◽  
pp. 1812
Author(s):  
Juan Carlos Pereira ◽  
Ramón Moreno ◽  
Christian Tenbrock ◽  
Arnold Herget ◽  
Thomas Wittich ◽  
...  
Keyword(s):  
Data Management ◽  
Research Work ◽  
Automated Manufacturing ◽  
Modular Architecture ◽  
Machining Processes ◽  
Hybrid Production ◽  
Hybrid Concept ◽  
Subtractive Machining ◽  
Removal System ◽  
Made In

In this paper, the approach and main advances made in multi-process hybrid production cells (HyProCell) for rapid individualised laser-based production are compiled and discussed, including highlights and achievements. HyProCell constructs automated manufacturing platforms that integrate highly flexible laser-based additive build processes with more conventional yet precise subtractive machining processes and include novel solutions like automatic powder removal system/machines and robot arms in integrated multi-process production cells. The HyProCell approach can either build parts additively from scratch and finish them in a coherent production single line/cell or prepare parts by machining and add laser-based additive features, achieving otherwise impossible shapes. In addition to producing new parts, existing parts can be repaired or improved by adding new details with the HyProCell hybrid concept. The research work includes the design of pilot cell facilities, the development of the, and a new modular architecture including a middleware and integration layer to ensure automation with improved pallet handling systems. Finally, the MES and data management methodologies for future improvements and pilot facility implementation were made.

Pengelolaan Data Penelitian pada Repositori Pengetahuan di Perpustakaan Khusus Lembaga Pemerintah Non Kementerian

2020 ◽  
Vol 27 (3) ◽  
pp. 195-211
Author(s):  
Tupan Tupan ◽  
Mohamad Djaenudin
Keyword(s):  
Data Management ◽  
Data Storage ◽  
Government Regulation ◽  
Research Work ◽  
Research Data ◽  
Knowledge Repository ◽  
Research Technology ◽  
Research Data Management ◽  
Knowledge Repositories ◽  
Special Library

This study focuses on the analysis of research data management in the knowledge repository in a special library of non-ministerial government institutions consisting of LIPI, BPPT, BATAN, BAPETEN, LAPAN and BSN.The research was conducted using descriptive methods, namely by describing and interpreting a phenomenon that develops by using scientific procedures to actually answer the problem. Data collection was carried out through interviews and surveys of repository managers. The results showed that the LPNK Special Library of the Ministry of Research, Technology and Higher Education had mostly collected research data stored in the knowledge repository by means of direct input in the national scientific repository (RIN). Developing a knowledge repository in a special library is done because of the need to store data and research work in one place. The knowledge repository serves as a digital storage provider for long-term data storage and scientific work. The knowledge repository can make it easier for users to browse or reference data and the work of other researchers. The availability of knowledge repositories can also facilitate interdisciplinary learning and research. The obstacle in managing research data is that researchers have so far not paid enough attention, especially in terms of research data backup. There is a lack of trust from data owners to share their data because there is no legality, infrastructure and clear management. Libraries do not require researchers to store data in knowledge repositories and there is no government regulation that regulates inter-institutional research data management.

Enumeration and Identification of Asbestos Fibres in Water

1974 ◽  
Vol 32 ◽  
pp. 526-527 ◽  
Author(s):  
O. Mudroch ◽  
J. R. Kramer
Keyword(s):  
Water Supply ◽  
Water Samples ◽  
Drainage Basin ◽  
Lake Superior ◽  
Research Work ◽  
List Type ◽  
The West ◽  
Asbestos Fibre ◽  
Amphibole Asbestos

Approximately 60,000 tons per day of waste from taconite mining, tailing, are added to the west arm of Lake Superior at Silver Bay. Tailings contain nearly the same amount of quartz and amphibole asbestos, cummingtonite and actinolite in fibrous form. Cummingtonite fibres from 0.01μm in length have been found in the water supply for Minnesota municipalities.The purpose of the research work was to develop a method for asbestos fibre counts and identification in water and apply it for the enumeration of fibres in water samples collected(a) at various stations in Lake Superior at two depth: lm and at the bottom.(b) from various rivers in Lake Superior Drainage Basin.

Beam-radiation effects on wool in the ESEM

1986 ◽  
Vol 44 ◽  
pp. 674-675
Author(s):  
G.D. Danilatos
Keyword(s):  
Electron Beam ◽  
Radiation Effects ◽  
Research Work ◽  
Beam Radiation ◽  
Liquid Environment ◽  
Know How ◽  
Environmental Sem

The advent of the environmental SEM (ESEM) has made possible the examination of uncoated and untreated specimen surfaces in the presence of a gaseous or liquid environment. However, the question arises as to what degree the examined surface remains unaffected by the action of the electron beam. It is reasonable to assume that the beam invariably affects all specimens but the type and degree of effect may be totally unimportant for one class of applications and totally unacceptable for another; yet, for a third class, it is imperative to know how our observations are modified by the presence of the beam. The aim of this report is to create an awareness of the need to initiate research work in various fields in order to determine the guiding rules of the limitations (or even advantages) due to irradiation.

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