scholarly journals Assesment of bathymetric maps via GIS for water in reservoir

2014 ◽  
Vol 20 (1) ◽  
pp. 142-158 ◽  
Author(s):  
Ayhan Ceylan ◽  
Ilke Ekizoglu
Keyword(s):  
Information System ◽  
Storage Capacity ◽  
Plant Cover ◽  
Geological Structure ◽  
Bathymetric Data ◽  
Efficient Management ◽  
Digital Elevation ◽  
Wide Range ◽  
Average Water ◽  
Area Data

In order to adopt measures for storing more water in reservoirs, lakes and ponds; to prevent water pollution, protect water sources and extend the service life of these facilities, it is important for manager (Municipalities, Directorates of the State Hydraulic Works (DSHW), Irrigation Unions etc.) to know the current topographic conditions and any changes in the storage capacities of these facilities. This study aimed to identify the updated topographic and bathymetric data required for the efficient management and usage of Altınapa reservoir, changes in surface area and volume of the facility, and to form a Reservoir Information System (RIS). Two digital elevation models, from 2009 and 1984, were used to determine changes in the storage capacity of the reservoir. The calculations indicated that, within this 25-year period, the storage capacity of the reservoir decreased by 12.7% due to sedimentation. A Dam Information System (RIS) was developed from a wide range of data sources, including topographic and bathymetric data of the reservoir and its surrounding area, data on specific features such as plant cover, water quality characteristics (Temperature, Dissolved Oxygen (DO), Secchi Disk Depth (SDD) and pH), geological structure, average water level, water supplied from springs, evaporation value of the reservoir, and precipitation.

scholarly journals Data framework for efficient management of sequence and microsatellite data in biodiversity studies

2013 ◽  
Vol 56 (1) ◽  
pp. 50-64 ◽  
Author(s):  
C. V. C. Truong ◽  
Z. Duchev ◽  
E. Groeneveld
Keyword(s):  
Information System ◽  
Molecular Data ◽  
General Information ◽  
Biological Data ◽  
Efficient Management ◽  
Data Framework ◽  
Wide Range ◽  
Uniform Solution ◽  
General Data ◽  
General Data Model

Abstract. In recent years, software packages for the management of biological data have rapidly been developing. However, currently, there is no general information system available for managing molecular data derived from both Sanger sequencing and microsatellite genotyping projects. A prerequisite to implementing such a system is to design a general data model which can be deployed to a wide range of labs without modification or customization. Thus, this paper aims to (1) suggest a uniform solution to efficiently store data items required in different labs, (2) describe procedures for representing data streams and data items (3) and construct a formalized data framework. As a result, the data framework has been used to develop an integrated information system for small labs conducting biodiversity studies.

The development of information interaction as a key element of state risk management and health protection

2020 ◽  
pp. 68-76
Author(s):  
S. Voronkova
Keyword(s):  
Risk Factors ◽  
Health Promotion ◽  
Information System ◽  
Information Interaction ◽  
New Information ◽  
Wide Range ◽  
Working Age ◽  
The Russian Federation ◽  
Working Age Population ◽  
Types Of Information

The article discusses ways to obtain information about risk factors and the health status of the population. The article describes a new information system «labor Medicine», which allows to organize the collection of a wide range of data for further analysis and application in the activities of various Executive authorities, public organizations, foundations, legal entities and citizens. It is proposed to improve this system by expanding the types of information collected, creating a passport for health promotion organizations, as well as integration with systems that are being implemented in the Russian Federation for managing the health of the working-age population in the context of state policy in the field of Informatization.

The use of intelligent agents in modeling an integrated information system of transport logistics

2020 ◽  
Vol 5 ◽  
pp. 59-66
Author(s):  
Y.M. Iskanderov ◽  
Keyword(s):  
Information System ◽  
Supply Chains ◽  
Intelligent Agents ◽  
Technological Processes ◽  
Transport Services ◽  
Wide Range ◽  
Integrated Information System ◽  
Multi Agent ◽  
Transport Logistics ◽  
Integrated Information

Aim. The use of intelligent agents in modeling an integrated information system of transport logistics makes it possible to achieve a qualitatively new level of design of control systems in supply chains. Materials and methods. The article presents an original approach that implements the possibilities of using multi-agent technologies in the interests of modeling the processes of functioning of an integrated information system of transport logistics. It is shown that the multi-agent infrastructure is actually a semantic shell of the information system, refl ecting the rules of doing business and the interaction of its participants in the supply chains. The characteristic of the model of the class of an intelligent agent, which is basic for solving problems of management of transport and technological processes, is given. Results. The procedures of functioning of the model of integration of information resources of the participants of the transport services market on the basis of intelligent agents are considered. The presented procedures provide a wide range of network interaction operations in supply chains, including traffi c and network structure “fl exible” control, mutual exchange of content and service information, as well as their distributed processing, and information security. Conclusions. The proposed approach showed that the use of intelligent agents in modeling the functioning of an integrated information system makes it possible to take into account the peculiarities of transport and technological processes in supply chains, such as the integration of heterogeneous enterprises, their distributed organization, an open dynamic structure, standardization of products, interfaces and protocols.

NEW APPROACHES TO THE ORGANIZATIONAL AND TECHNICAL SUPPORT OF THE EXAMINATION OF COMPETITIVE APPLICATIONS FOR STATE SUPPORT IN THE FORM OF GRANTS OF THE PRESIDENT OF THE RUSSIAN FEDERATION TO YOUNG RUSSIAN SCIENTISTS – DOCTORS OF SCIENCES AND PHILOSOPHY DOCTORS (DOCTORS AND Ph. D.) AND LEADING SCIENTIFIC SCHOOLS

2020 ◽  
pp. 59-67
Author(s):  
N.A. Mironov ◽  
E.A. Maryshev ◽  
N.A. Divueva
Keyword(s):  
Information System ◽  
Russian Federation ◽  
Technical Support ◽  
Examination System ◽  
State Support ◽  
New Approaches ◽  
Wide Range ◽  
Integrated Information System ◽  
The Russian Federation ◽  
Integrated Information

The article discusses the issues of improving the examination system of competitive applications for state support in the form of grants of the President of the Russian Federation on the basis of an integrated information system that includes the information support system of the Grants Council of the President of the Russian Federation and the information system of the Federal Roster of Scientific and Technological Experts and containing information about experts, applications and expert examination results. In order to improve the principles of transparency and openness of support programs and competition winners, to ensure the objectivity of the competitive selection of projects, a number of organizational and technical solutions are proposed in the application examination system based on an integrated information system. The new and proposed new approaches to the organizational and technical support of the examination of competitive applications for state support in the form of grants of the President of the Russian Federation to young Russian scientists made it possible, by attracting a wide range of scientific and technological communities, to conduct examination of more than five thousand applications with high quality and deadlines set by the Ministry of Education and Science of Russia.

Delineating soil landscape facets from digital elevation models using compound topographic index in a geographic information system

Soil Research ◽  
2007 ◽  
Vol 45 (8) ◽  
pp. 569 ◽  
Author(s):  
X. Yang ◽  
G. A. Chapman ◽  
J. M. Gray ◽  
M. A. Young
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Land Use Planning ◽  
Digital Elevation Models ◽  
Geographic Information ◽  
Coastal Areas ◽  
Topographic Index ◽  
Digital Elevation ◽  
Soil Landscape ◽  
Compound Topographic Index

Soil landscapes and their component facets (or sub-units) are fundamental information for land capability assessment and land use planning. The aim of the study was to delineate soil landscape facets from readily available digital elevation models (DEM) to assist soil constraint assessment for urban and regional planning in the coastal areas of New South Wales (NSW), Australia. The Compound Topographic Index (CTI) surfaces were computed from 25 m DEM using a D-infinity algorithm. The cumulative frequency distribution of CTI values within each soil landscape was examined to identify the values corresponding to the area specified for each unmapped facet within the soil landscape map unit. Then these threshold values and CTI surfaces were used to generate soil landscape facet maps for the entire coastal areas of NSW. Specific programs were developed for the above processes in a geographic information system so that they are automated, fast, and repeatable. The modelled facets were assessed by field validation and the overall accuracy reached 93%. The methodology developed in this study has been proven to be efficient in delineating soil landscape facets, and allowing for the identification of land constraints at levels of unprecedented detail for the coast of NSW.

scholarly journals Flowing into the unknown: inferred paleodrainages for studying the ichthyofauna of Brazilian coastal rivers

2018 ◽  
Vol 16 (3) ◽  
Author(s):  
Andréa T. Thomaz ◽  
L. Lacey Knowles
Keyword(s):  
Information System ◽  
Continental Shelf ◽  
Sea Level ◽  
Brazilian Coast ◽  
Strongly Correlated ◽  
Bathymetric Data ◽  
Biological Studies ◽  
Coastal Rivers ◽  
Coastal Basins ◽  
Geologic Data

ABSTRACT The eastern coastal basins of Brazil are a series of small and isolated rivers that drain directly into the Atlantic Ocean. During the Pleistocene, sea-level retreat caused by glaciations exposed the continental shelf, resulting in enlarged paleodrainages that connected rivers that are isolated today. Using Geographic Information System (GIS), we infer the distribution of these paleodrainages, and their properties for the east Brazilian coast. Specifically, using elevation/bathymetric data for the largest sea-level retreats during the Pleistocene, the paleodrainages, their area and the number of contemporary basins connected by each palaeodrainage, was inferred. For the 145 inferred paleodrainages, total paleodrainage area is strongly correlated with the contemporary area encompassed by each paleodrainage, as well as with the number of contemporary basins encompassed by a paleodrainage. Differences in the continental shelf exposure along the coast affected the degree of past connectivity among contemporary rivers. With our results freely available, we discuss how paleodrainages have tremendous utility in biological studies, especially in regions with limited geologic data. With respect to the diverse ichthyofauna of the Brazilian coast, and its high endemism, we highlight how the inferred paleodrainages provide a backdrop to test hypotheses about the effect of past riverine connectivity on diversity patterns.

scholarly journals Sistem Informasi Rekam Medis Pada Klinik PT. Nippon Paint Jakarta

2020 ◽  
Vol 1 (1) ◽  
pp. 61-74
Author(s):  
Mohamad Siraji ◽  
Heri Kuswara
Keyword(s):  
Information System ◽  
System Development ◽  
Medical Data ◽  
Health Care Facilities ◽  
Use Case ◽  
Activity Diagram ◽  
Efficient Management ◽  
Entity Relationship ◽  
Entity Relationship Diagram ◽  
Clinic Medical

Medical record is a file that contains records and documents about patient identity, examination, treatment, actions and other services that have been provided to patients in health care facilities. Problems that occur in the Clinic PT. Nippon Paint Jakarta is an ineffective and efficient management of medical data. This information system aims to manage medical data quickly and accurately. This system development method uses SDLC by making UML diagrams such as use case diagrams, class diagrams, activity diagrams, entity relationship diagrams as stages of system design. This information system is based on WEB using the PHP programming language supported by SQL database. The results of the design of this system are expected to be one of the solutions to the problems that have occurred so far.   Keywords: Clinic, Medical Records, Informations Systems     Abstrak   Rekam medis adalah berkas yang berisi catatan dan dokumen tentang identitas pasien, pemeriksaan, pengobatan, tindakan dan pelayanan lain yang telah diberikan kepada pasien pada sarana pelayanan kesehatan. Permasalahan yang terjadi di Klinik PT. Nippon Paint Jakarta yaitu pengelolaan data medis yang kurang efektif dan efisien. Sistem informasi ini bertujuan supaya pengelolaan data medis dapat berjalan dengan cepat dan tepat. Metode pengembangan sistem ini menggunakan SDLC dengan membuat diagram-diagram UML seperti use case diagram, class diagram, activity diagram, entity relationship diagram sebagai tahapan perancangan sistem. Sistem informasi ini dibuat dengan berbasis WEB menggunakan bahasa pemrograman PHP yang didukung basis data SQL. Hasil rancang bangun sistem ini diharapkan dapat menjadi salah satu solusi dari permasalahan yang terjadi selama ini.   Kata kunci: Klinik, Rekam Medis, Sistem Informasi

scholarly journals On evaluation of complex-structured coal deposits based on their typical geometric features

2021 ◽  
Vol 303 ◽  
pp. 01029
Author(s):  
Alexander Katsubin ◽  
Victor Martyanov ◽  
Milan Grohol
Keyword(s):  
Surface Mining ◽  
Geological Structure ◽  
Point Of View ◽  
Open Pit ◽  
Open Pit Mining ◽  
Mining Operations ◽  
Coal Deposits ◽  
Geological Conditions ◽  
Wide Range ◽  
Large Length

Information about the geological structure of Kuznetsky coal basin (Kuzbass) allows us to note that coal deposits developed by open-cast method are characterized by complicated conditions and have the following features: large length of deposits at significant depths of occurrence; coal series bedding of different thicknesses (from 1 to 40 m); different dip angles (from 3 to 90º); a significant number of dip and direction disturbances; different thickness of unconsolidated quaternary sediments (from 5 to 40 m); a wide range of strength values of rocks. In addition, there is a thickness irregularity and frequent variability of elements of occurrence of coal seams within the boundaries of a quarry field both in length and depth of mining. From the point of view of open-pit mining, such deposits are complex-structured. The factors listed above have a decisive influence on the choice of technical means, the order of development and the possibility of carrying out surface mining operations. Therefore, there is a need for a systematization of mining and geological conditions for the development of coal deposits, the purpose of which is to ensure a process of evaluation of complex-structured coal deposits for the development of coal-bearing zones by various complexes of equipment.

scholarly journals Application of natural language processing methods to extract coded data from administrative data held in the Scottish Prescribing Information System

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Clifford Nangle ◽  
Stuart McTaggart ◽  
Margaret MacLeod ◽  
Jackie Caldwell ◽  
Marion Bennie
Keyword(s):  
Information System ◽  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Drug Exposure ◽  
Drug Dose ◽  
Free Text ◽  
Wide Range ◽  
The Impact ◽  
Prescribing Information

ABSTRACT ObjectivesThe Prescribing Information System (PIS) datamart, hosted by NHS National Services Scotland receives around 90 million electronic prescription messages per year from GP practices across Scotland. Prescription messages contain information including drug name, quantity and strength stored as coded, machine readable, data while prescription dose instructions are unstructured free text and difficult to interpret and analyse in volume. The aim, using Natural Language Processing (NLP), was to extract drug dose amount, unit and frequency metadata from freely typed text in dose instructions to support calculating the intended number of days’ treatment. This then allows comparison with actual prescription frequency, treatment adherence and the impact upon prescribing safety and effectiveness. ApproachAn NLP algorithm was developed using the Ciao implementation of Prolog to extract dose amount, unit and frequency metadata from dose instructions held in the PIS datamart for drugs used in the treatment of gastrointestinal, cardiovascular and respiratory disease. Accuracy estimates were obtained by randomly sampling 0.1% of the distinct dose instructions from source records, comparing these with metadata extracted by the algorithm and an iterative approach was used to modify the algorithm to increase accuracy and coverage. ResultsThe NLP algorithm was applied to 39,943,465 prescription instructions issued in 2014, consisting of 575,340 distinct dose instructions. For drugs used in the gastrointestinal, cardiovascular and respiratory systems (i.e. chapters 1, 2 and 3 of the British National Formulary (BNF)) the NLP algorithm successfully extracted drug dose amount, unit and frequency metadata from 95.1%, 98.5% and 97.4% of prescriptions respectively. However, instructions containing terms such as ‘as directed’ or ‘as required’ reduce the usability of the metadata by making it difficult to calculate the total dose intended for a specific time period as 7.9%, 0.9% and 27.9% of dose instructions contained terms meaning ‘as required’ while 3.2%, 3.7% and 4.0% contained terms meaning ‘as directed’, for drugs used in BNF chapters 1, 2 and 3 respectively. ConclusionThe NLP algorithm developed can extract dose, unit and frequency metadata from text found in prescriptions issued to treat a wide range of conditions and this information may be used to support calculating treatment durations, medicines adherence and cumulative drug exposure. The presence of terms such as ‘as required’ and ‘as directed’ has a negative impact on the usability of the metadata and further work is required to determine the level of impact this has on calculating treatment durations and cumulative drug exposure.

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