The Experts below are selected from a list of 603 Experts worldwide ranked by ideXlab platform

Jozef Novak-marcincin - One of the best experts on this subject based on the ideXlab platform.

  • Application of the Virtual Reality Modeling Language for Design of Automated Workplaces
    2011
    Co-Authors: Jozef Novak-marcincin
    Abstract:

    description language, which belongs to a field Window on World virtual reality system. The file, which is in VRML format, can be interpreted by VRML explorer in three-dimensional scene. VRML was created with aim to represent virtual reality on Internet easier. Development of 3D Graphic is connected with Silicon Graphic Corporation. VRML 2.0 is the file format for describing interactive 3D scenes and objects. It can be used in collaboration with www, can be used for 3D complex representations creating of scenes, products or VR applications VRML 2.0 enables represent static and animated objects too. Interesting application of VRML is in area of manufacturing systems presentation. Keywords—Virtual reality, virtual reality modeling language, design of workplaces, technological workplaces. I

Jozef Novak Marcinčin - One of the best experts on this subject based on the ideXlab platform.

  • APPLICATION OF THE VIRTUAL REALITY MODELLING LANGUAGE IN AUTOMATED TECHNOLOGICAL WORKPLACES DESIGN
    Engineering review, 2007
    Co-Authors: Jozef Novak Marcinčin
    Abstract:

    Virtual Reality Modelling Language (VRML) is a description language belonging to a field of the Window of the virtual World reality system. The file, which is in VRML format, can be interpreted by the VRML explorer in three-dimensional view. VRML was created with the aim of more easily representing virtual reality on the Internet. The development of 3D Graphics is connected with Silicon Graphic Corporation. VRML 2.0 is the file format for describing interactive 3D scenes and objects. It can be used in collaboration with www, and it can be used for complex 3D representations in the creation of scenes, products or VR applications. VRML 2.0 enables representative static and animated objects, too. One interesting application of VRML is in the area of automated manufacturing systems design and presentation.

S. K. Battacharyac - One of the best experts on this subject based on the ideXlab platform.

  • of Bihar state, India: an RS and GIS approach
    2015
    Co-Authors: S. Sudhakara, T. Srinivasb, A. Palitc, S. K. Karc, S. K. Battacharyac
    Abstract:

    Background & objectives: The kala-azar fever (Visceral leishmaniasis) is continuing unabated in India for over a century, now being largely confined to the eastern part of India mainly in Bihar state and to some extent in its bordering states like West Bengal and Uttar Pradesh. Two study sites namely Patepur block in Vaishali district with high endemicity in northern part and Lohardagga block in Lohardagga district with absolute non-endemicity in southern part of Bihar were selected for the study with the following objectives: (i) to study the macro-ecosystem in relation to distribution of vector —Phlebotomus argentipes; (ii) to identify/map the risk prone areas or villages in a block for quick remedial measures; and (iii) to make use of satellite remote sensing and GIS to demonstrate the utility for rapid assessment of landuse/landcover and their relation with the incidence of kala-azar leading to the mapping of risk prone areas. Methods: Indian Remote Sensing (IRS)-1D LISS III satellite data for the periods of March and November 2000 were analysed in Silicon Graphic image processing system using ERDAS software. False color composites (FCC) were generated and landuse/landcover was assessed using Maximum likelihood supervised classification techniques based on ground truth training sets. During the stud

S. Sudhakara - One of the best experts on this subject based on the ideXlab platform.

  • of Bihar state, India: an RS and GIS approach
    2015
    Co-Authors: S. Sudhakara, T. Srinivasb, A. Palitc, S. K. Karc, S. K. Battacharyac
    Abstract:

    Background & objectives: The kala-azar fever (Visceral leishmaniasis) is continuing unabated in India for over a century, now being largely confined to the eastern part of India mainly in Bihar state and to some extent in its bordering states like West Bengal and Uttar Pradesh. Two study sites namely Patepur block in Vaishali district with high endemicity in northern part and Lohardagga block in Lohardagga district with absolute non-endemicity in southern part of Bihar were selected for the study with the following objectives: (i) to study the macro-ecosystem in relation to distribution of vector —Phlebotomus argentipes; (ii) to identify/map the risk prone areas or villages in a block for quick remedial measures; and (iii) to make use of satellite remote sensing and GIS to demonstrate the utility for rapid assessment of landuse/landcover and their relation with the incidence of kala-azar leading to the mapping of risk prone areas. Methods: Indian Remote Sensing (IRS)-1D LISS III satellite data for the periods of March and November 2000 were analysed in Silicon Graphic image processing system using ERDAS software. False color composites (FCC) were generated and landuse/landcover was assessed using Maximum likelihood supervised classification techniques based on ground truth training sets. During the stud

Sk Battacharya - One of the best experts on this subject based on the ideXlab platform.

  • Mapping of risk prone areas of kala-azar (Visceral leishmaniasis) in parts of Bihar State, India: an RS and GIS approach.
    Journal of vector borne diseases, 2006
    Co-Authors: S Sudhakar, T Srinivas, A. Palit, Shantanu K. Kar, Sk Battacharya
    Abstract:

    Background & objectives: The kala-azar fever (Visceral leishmaniasis) is continuing unabated in India for over a century, now being largely confined to the eastern part of India mainly in Bihar state and to some extent in its bordering states like West Bengal and Uttar Pradesh. Two study sites namely Patepur block in Vaishali district with high endemicity in northern part and Lohardagga block in Lohardagga district with absolute non-endemicity in southern part of Bihar were selected for the study with the following objectives : (i) to study the macro-ecosystem in relation to distribution of vector —Phlebotomus argentipes; (ii) to identify/map the risk prone areas or villages in a block for quick remedial measures; and (iii) to make use of satellite remote sensing and GIS to demonstrate the utility for rapid assessment of landuse/landcover and their relation with the incidence of kalaazar leading to the mapping of risk prone areas. Methods: Indian Remote Sensing (IRS)-1D LISS III satellite data for the periods of March and November 2000 were analysed in Silicon Graphic image processing system using ERDAS software. False color composites (FCC) were generated and landuse/landcover was assessed using Maximum likelihood supervised classification techniques based on ground truth training sets. During the study the GIS functions are used to quantify the remotely sensed landscape proportions of 5 km 2 buffer surrounding each known group of villages of high occurrence of sandflies in endemic and nonendemic study sites. Instead of traditional ground based survey methods to vector surveillance, the present study used a combination of remote sensing (RS) and geoGraphical information system (GIS) approach to develop landscape predictors of sandfly abundance—an indicator of human vector contact and as a measure of risk prone areas. Results: Statistical analysis using the remotely sensed landscape variables showed that rural villages surrounded by higher proportion of transitional swamps with soft stemmed edible plants and banana, sugarcane plantations had higher sandfly abundance and would, therefore, be at higher risk prone areas for man-vector contact. Interpretation & conclusion: The present study clearly brought out the usefulness of satellite remote sensing technology in generating the crucial information on spatial distribution of landuse/landcover classes with special emphasis on indicator landcover classes thereby helping in prioritising the area to identify risk prone areas of kala-azar through GIS application tools.